{"id":921,"date":"2021-11-27T01:46:22","date_gmt":"2021-11-26T18:46:22","guid":{"rendered":"https:\/\/language-semantic.org\/ijckg2021\/?page_id=921"},"modified":"2021-12-09T09:08:58","modified_gmt":"2021-12-09T02:08:58","slug":"program","status":"publish","type":"page","link":"https:\/\/language-semantic.org\/ijckg2021\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"921\" class=\"elementor elementor-921\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f57ade0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f57ade0\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f9fb306\" data-id=\"f9fb306\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4732889 elementor-widget elementor-widget-text-editor\" data-id=\"4732889\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<table style=\"border-collapse: collapse;\" width=\"100%\" cellspacing=\"0\">\n  <tbody>\n    <tr>\n      <td style=\"background-color: #20124d; border-color: #cccccc; border-left-width: 1px; border-top-width: 1px; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 36.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: white;\">IJCKG 2021 Program<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #20124d; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: white;\">(All times UTC)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 24.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">December 6th<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Opening (11:00\u201311:15)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Oscar Corcho<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keynote I (11:15\u201312:15)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Oscar Corcho<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><em><span style=\"font-size: 16.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge Graphs: Theory, Applications and Challenges<\/span><\/span><\/span><\/em><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 14.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Ian Horrocks, Professor, University of Oxford<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (12:15\u201312:30)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #cfe2f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><u><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: #1155cc;\"><a style=\"color: #0563c1;\" href=\"https:\/\/kgr4xai.ikgrc.org\/\" target=\"_blank\" rel=\"noopener\" data-cke-saved-href=\"https:\/\/kgr4xai.ikgrc.org\/\"><span style=\"color: blue;\">KGR4XAI Workshop (12:30\u201316:00)<\/span><\/a><\/span><\/span><\/span><\/u><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 24.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">December 7th<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Session I: Graph-based Learning (11:00\u201312:50)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Xiaowang Zhang<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">FedE: Embedding Knowledge Graphs in Federated Setting<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia and Huajun Chen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keyu Chen and Shiliang Sun<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">FEED: A Chinese Financial Event Extraction Dataset Constructed by Distant Supervision<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Guozheng Li, Peng Wang, Jiafeng Xie, Ruilong Cui and Zhenkai Deng<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Multi-hop Reasoning Based on Reinforcement Learning and Hyperbolic Knowledge Graph Embedding<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Xingchen Zhou, Peng Wang, Qiqing Luo and Zhe Pan<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Unsupervised Anomaly Detection in Knowledge Graphs<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Asara Senaratne, Graham Williams and Peter Christen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:25<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Chen Hui and Huajun Chen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:30<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Mori Kurokawa<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:35<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"3\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Q&amp;A for Short Papers (breakout rooms)<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (12:50\u201313:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keynote II (13:00\u201314:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Haofen Wang<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><em><span style=\"font-size: 16.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge-oriented Explainable Cognitive Reasoning<\/span><\/span><\/span><\/em><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 14.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Juanzi Li, Professor, Tsinghua University<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (14:00\u201314:20)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Session II: Graph-based Learning (14:20\u201316:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Tianxing Wu<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">14:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen and Huajun Chen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">14:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Long Zhang, Tianxing Wu, Xiuqi Chen, Bingjie Lu, Chongning Na and Guilin Qi<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified\n        with A Bosch Welding Case<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetashova, Gong Cheng and Evgeny Kharlamov<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Fuzzy Search of Knowledge Graph with Link Prediction<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Takanori Ugai<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:25<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen and Huajun Chen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:30<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Text-Enhanced Question Answering over Knowledge Graph<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Jiaying Tian, Bohan Li, Ye Ji and Jiajun Wu<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:35<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Enhanced Knowledge Graph Embedding for Multi-Task Recommendation via Integrating Attribute Information and High-Order Connectivity<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Yani Wang, Aoran Li, Ji Zhang and Bohan Li<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Shashank Sonkar, Arzoo Katiyar and Richard Baraniuk<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:45<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"3\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Q&amp;A for Short Papers (breakout rooms)<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (16:00\u201316:20)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keynote III (16:20\u201317:20)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #ead1dc; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Aidan Hogan<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><em><span style=\"font-size: 16.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Distinguishing Graph Neural Networks in terms of their power, and how to choose the right architecture<\/span><\/span><\/span><\/em><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 14.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Juan Reutter, Professor, Pontificia Universidad Cat\u00f3lica de Chile<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 24.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">December 8th<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Session III: Data, Queries, Semantics (11:00\u201312:40)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Hideaki Takeda<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Extracting Domain-specific Concepts from Large-scale Linked Open Data<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Satoshi Kume and Kouji Kozaki<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Gaochen Wu, Bin Xu, Yuxin Qin, Weizhou Wang and Geng Wang<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">11:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">ROSE-NER: Robust Semi-supervised Named Entity Recognition on Insufficient Labeled Data<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Haiyan Chen, Shuwei Yuan and Xiang Zhang<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Ontologies of Action and Object in Home Environment towards Injury Prevention<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Satoshi Nishimura, Shusaku Egami, Takanori Ugai, Mikiko Oono, Koji Kitamura and Ken Fukuda<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:05<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Gene Ranking based on Paths from Phenotypes to Genes on Knowledge Graph<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Atsuko Yamaguchi, Jae-Moon Shin and Toyofumi Fujiwara<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:10<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge Graph Enhanced Community Consensus: a Scenario-based Knowledge Construction on Buddha Images<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Akkharawoot Takhom, Tharathon Utasri, Dhanon Leenoi, Pitchaya Soomjinda, Prachya Boonkwan and Thepchai Supnithi<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:15<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Pre-classification Supporting Reasoning for Document-level Relation Extraction<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Jiehao Zhao, Guiduo Duan and Tianxi Huang<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Automated Reasoning on Machine Learning Model of Legislative Election Prediction<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Yanti Rusmawati<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">12:25<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"3\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Q&amp;A for Short Papers (breakout rooms)<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (12:40\u201313:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keynote IV (13:00\u201314:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Haofen Wang<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><em><span style=\"font-size: 16.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge Graph and Machine Learning: Three Key Business Needs<\/span><\/span><\/span><\/em><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 14.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Yu Xu, Founder &amp; CEO, TigerGraph<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (14:00\u201314:20)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Session IV: Data, Queries, Semantics (14:20\u201316:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Lei Hou<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">14:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Rui Zhu, Cogan Shimizu, Shirly Stephen, Lu Zhou, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Mark Schildhauer and Pascal Hitzler<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">14:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Albert Navarro-Gallinad, Fabrizio Orlandi and Declan O&#8217;Sullivan<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:00<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">A Pattern for Features on a Hierarchical Spatial Grid<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Cogan Shimizu, Rui Zhu, Gengchen Mai, Colby Fisher, Ling Cai, Mark Schildhauer, Krzysztof Janowicz, Pascal Hitzler, Lu Zhou and Shirly Stephen<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">long<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:20<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Knowledge Graph Curation: A Practical Framework<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Elwin Huaman and Dieter Fensel<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:25<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev and Evgeny Kharlamov<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:30<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">LEKG: A System for Constructing Knowledge Graph from Log Extraction<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Fangrong Wang, Alan Bundy, Xue Li, Ruiqi Zhu, Kwabena Nuamah, Lei Xu, Stefano Mauceri and Jeff Pan<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:35<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Keqi Chen, Jun Ma, Qianwen Zhang and Yue Bai<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:40<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">ESDL: Entity Summarization with Deep Learning<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Abdulkarim Kushk and Krzysztof Kochut<\/span><\/span><\/span><\/span><\/span><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">short<\/span><\/span><\/span><\/span><\/span><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><p style=\"text-align: right;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">15:45<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n      <td style=\"background-color: #f3f3f3; border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"3\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><span style=\"font-size: 10.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Q&amp;A for Short Papers (breakout rooms)<\/span><\/span><\/span><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Break (16:00\u201316:20)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Town Hall (16:20\u201316:40)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Various<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n      <td style=\"border-bottom-color: #cccccc; border-left: none; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\"><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-size: 18.0pt;\"><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Closing &amp; <a href=\"..\/best-paper-award-winners\/\">Awards<\/a> (16:40\u201317:00)<\/span><\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n    <tr>\n      <td style=\"background-color: #fce5cd; border-bottom-color: #cccccc; border-left-width: 1px; border-left-color: #cccccc; border-right-color: #cccccc; border-top: none; height: 21px; vertical-align: top;\" colspan=\"4\"><p style=\"text-align: center;\"><span style=\"font-size: 11pt;\"><span style=\"font-family: 'Calibri',sans-serif;\"><strong><span style=\"font-family: 'Cambria',serif;\"><span style=\"color: black;\">Chair: Various<\/span><\/span><\/strong><\/span><\/span><\/p><\/td>\n    <\/tr>\n  <\/tbody>\n<\/table>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>IJCKG 2021 Program (All times UTC) December 6th Opening (11:00\u201311:15) Chair: Oscar Corcho Keynote I (11:15\u201312:15) Chair: Oscar Corcho Knowledge Graphs: Theory, Applications and Challenges Ian Horrocks, Professor, University of Oxford Break (12:15\u201312:30) KGR4XAI Workshop (12:30\u201316:00) December 7th Session I: Graph-based Learning (11:00\u201312:50) Chair: Xiaowang Zhang 11:00 FedE: Embedding Knowledge Graphs in Federated Setting Mingyang &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/language-semantic.org\/ijckg2021\/program\/\"> <span class=\"screen-reader-text\">Program<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-921","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"ijckg_admin","author_link":"https:\/\/language-semantic.org\/ijckg2021\/author\/ijckg_admin\/"},"uagb_comment_info":0,"uagb_excerpt":"IJCKG 2021 Program (All times UTC) December 6th Opening (11:00\u201311:15) Chair: Oscar Corcho Keynote I (11:15\u201312:15) Chair: Oscar Corcho Knowledge Graphs: Theory, Applications and Challenges Ian Horrocks, Professor, University of Oxford Break (12:15\u201312:30) KGR4XAI Workshop (12:30\u201316:00) December 7th Session I: Graph-based Learning (11:00\u201312:50) Chair: Xiaowang Zhang 11:00 FedE: Embedding Knowledge Graphs in Federated Setting Mingyang&hellip;","_links":{"self":[{"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/pages\/921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/comments?post=921"}],"version-history":[{"count":30,"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/pages\/921\/revisions"}],"predecessor-version":[{"id":994,"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/pages\/921\/revisions\/994"}],"wp:attachment":[{"href":"https:\/\/language-semantic.org\/ijckg2021\/wp-json\/wp\/v2\/media?parent=921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}