IJCKG 2021 Program |
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(All times UTC) |
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December 6th |
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Opening (11:00–11:15) |
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Chair: Oscar Corcho |
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Keynote I (11:15–12:15) |
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Chair: Oscar Corcho |
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Knowledge Graphs: Theory, Applications and Challenges |
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Ian Horrocks, Professor, University of Oxford |
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Break (12:15–12:30) |
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December 7th |
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Session I: Graph-based Learning (11:00–12:50) |
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Chair: Xiaowang Zhang |
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11:00 |
FedE: Embedding Knowledge Graphs in Federated Setting | Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia and Huajun Chen | long |
11:20 |
Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning | Keyu Chen and Shiliang Sun | long |
11:40 |
FEED: A Chinese Financial Event Extraction Dataset Constructed by Distant Supervision | Guozheng Li, Peng Wang, Jiafeng Xie, Ruilong Cui and Zhenkai Deng | long |
12:00 |
Multi-hop Reasoning Based on Reinforcement Learning and Hyperbolic Knowledge Graph Embedding | Xingchen Zhou, Peng Wang, Qiqing Luo and Zhe Pan | long |
12:20 |
Unsupervised Anomaly Detection in Knowledge Graphs | Asara Senaratne, Graham Williams and Peter Christen | short |
12:25 |
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training | Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Chen Hui and Huajun Chen | short |
12:30 |
Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding | Mori Kurokawa | short |
12:35 |
Q&A for Short Papers (breakout rooms) |
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Break (12:50–13:00) |
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Keynote II (13:00–14:00) |
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Chair: Haofen Wang |
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Knowledge-oriented Explainable Cognitive Reasoning |
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Juanzi Li, Professor, Tsinghua University |
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Break (14:00–14:20) |
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Session II: Graph-based Learning (14:20–16:00) |
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Chair: Tianxing Wu |
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14:20 |
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules | Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen and Huajun Chen | long |
14:40 |
Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection | Long Zhang, Tianxing Wu, Xiuqi Chen, Bingjie Lu, Chongning Na and Guilin Qi | long |
15:00 |
Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding Case | Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetashova, Gong Cheng and Evgeny Kharlamov | long |
15:20 |
Fuzzy Search of Knowledge Graph with Link Prediction | Takanori Ugai | short |
15:25 |
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction | Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen and Huajun Chen | short |
15:30 |
Text-Enhanced Question Answering over Knowledge Graph | Jiaying Tian, Bohan Li, Ye Ji and Jiajun Wu | short |
15:35 |
Enhanced Knowledge Graph Embedding for Multi-Task Recommendation via Integrating Attribute Information and High-Order Connectivity | Yani Wang, Aoran Li, Ji Zhang and Bohan Li | short |
15:40 |
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion | Shashank Sonkar, Arzoo Katiyar and Richard Baraniuk | short |
15:45 |
Q&A for Short Papers (breakout rooms) |
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Break (16:00–16:20) |
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Keynote III (16:20–17:20) |
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Chair: Aidan Hogan |
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Distinguishing Graph Neural Networks in terms of their power, and how to choose the right architecture |
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Juan Reutter, Professor, Pontificia Universidad Católica de Chile |
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December 8th |
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Session III: Data, Queries, Semantics (11:00–12:40) |
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Chair: Hideaki Takeda |
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11:00 |
Extracting Domain-specific Concepts from Large-scale Linked Open Data | Satoshi Kume and Kouji Kozaki | long |
11:20 |
Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking | Gaochen Wu, Bin Xu, Yuxin Qin, Weizhou Wang and Geng Wang | long |
11:40 |
ROSE-NER: Robust Semi-supervised Named Entity Recognition on Insufficient Labeled Data | Haiyan Chen, Shuwei Yuan and Xiang Zhang | long |
12:00 |
Ontologies of Action and Object in Home Environment towards Injury Prevention | Satoshi Nishimura, Shusaku Egami, Takanori Ugai, Mikiko Oono, Koji Kitamura and Ken Fukuda | short |
12:05 |
Gene Ranking based on Paths from Phenotypes to Genes on Knowledge Graph | Atsuko Yamaguchi, Jae-Moon Shin and Toyofumi Fujiwara | short |
12:10 |
Knowledge Graph Enhanced Community Consensus: a Scenario-based Knowledge Construction on Buddha Images | Akkharawoot Takhom, Tharathon Utasri, Dhanon Leenoi, Pitchaya Soomjinda, Prachya Boonkwan and Thepchai Supnithi | short |
12:15 |
Pre-classification Supporting Reasoning for Document-level Relation Extraction | Jiehao Zhao, Guiduo Duan and Tianxi Huang | short |
12:20 |
Automated Reasoning on Machine Learning Model of Legislative Election Prediction | Yanti Rusmawati | short |
12:25 |
Q&A for Short Papers (breakout rooms) |
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Break (12:40–13:00) |
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Keynote IV (13:00–14:00) |
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Chair: Haofen Wang |
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Knowledge Graph and Machine Learning: Three Key Business Needs |
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Yu Xu, Founder & CEO, TigerGraph |
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Break (14:00–14:20) |
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Session IV: Data, Queries, Semantics (14:20–16:00) |
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Chair: Lei Hou |
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14:20 |
SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology | Rui Zhu, Cogan Shimizu, Shirly Stephen, Lu Zhou, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Mark Schildhauer and Pascal Hitzler | long |
14:40 |
Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data | Albert Navarro-Gallinad, Fabrizio Orlandi and Declan O’Sullivan | long |
15:00 |
A Pattern for Features on a Hierarchical Spatial Grid | Cogan Shimizu, Rui Zhu, Gengchen Mai, Colby Fisher, Ling Cai, Mark Schildhauer, Krzysztof Janowicz, Pascal Hitzler, Lu Zhou and Shirly Stephen | long |
15:20 |
Knowledge Graph Curation: A Practical Framework | Elwin Huaman and Dieter Fensel | short |
15:25 |
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding | Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev and Evgeny Kharlamov | short |
15:30 |
LEKG: A System for Constructing Knowledge Graph from Log Extraction | Fangrong Wang, Alan Bundy, Xue Li, Ruiqi Zhu, Kwabena Nuamah, Lei Xu, Stefano Mauceri and Jeff Pan | short |
15:35 |
Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph | Keqi Chen, Jun Ma, Qianwen Zhang and Yue Bai | short |
15:40 |
ESDL: Entity Summarization with Deep Learning | Abdulkarim Kushk and Krzysztof Kochut | short |
15:45 |
Q&A for Short Papers (breakout rooms) |
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Break (16:00–16:20) |
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Town Hall (16:20–16:40) |
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Chair: Various |
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Closing & Awards (16:40–17:00) |
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Chair: Various |
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