| IJCKG 2021 Program | |||
| (All times Beijing Time) | |||
| December 6th | |||
| Opening (19:00–19:15) | |||
| Chair: Oscar Corcho | |||
| Keynote I (19:15–20:15) | |||
| Chair: Oscar Corcho | |||
| Knowledge Graphs: Theory, Applications and Challenges | |||
| Ian Horrocks, Professor, University of Oxford | |||
| Break (20:15–20:30) | |||
| KGR4XAI Workshop (20:30–00:00) | |||
| December 7th | |||
| Session I: Graph-based Learning (19:00–20:50) | |||
| Chair: Xiaowang Zhang | |||
| 19:00 | FedE: Embedding Knowledge Graphs in Federated Setting | Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia and Huajun Chen | long | 
| 19:20 | Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning | Keyu Chen and Shiliang Sun | long | 
| 19:40 | FEED: A Chinese Financial Event Extraction Dataset Constructed by Distant Supervision | Guozheng Li, Peng Wang, Jiafeng Xie, Ruilong Cui and Zhenkai Deng | long | 
| 20:00 | Multi-hop Reasoning Based on Reinforcement Learning and Hyperbolic Knowledge Graph Embedding | Xingchen Zhou, Peng Wang, Qiqing Luo and Zhe Pan | long | 
| 20:20 | Unsupervised Anomaly Detection in Knowledge Graphs | Asara Senaratne, Graham Williams and Peter Christen | short | 
| 20:25 | 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 | 
| 20:30 | Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding | Mori Kurokawa | short | 
| 20:35 | Q&A for Short Papers (breakout rooms) | ||
| Break (20:50–21:00) | |||
| Keynote II (21:00–22:00) | |||
| Chair: Haofen Wang | |||
| Knowledge-oriented Explainable Cognitive Reasoning | |||
| Juanzi Li, Professor, Tsinghua University | |||
| Break (22:00–22:20) | |||
| Session II: Graph-based Learning (22:20–00:00) | |||
| Chair: Tianxing Wu | |||
| 22:20 | 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 | 
| 22:40 | 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 | 
| 23:00 | 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 | 
| 23:20 | Fuzzy Search of Knowledge Graph with Link Prediction | Takanori Ugai | short | 
| 23:25 | 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 | 
| 23:30 | Text-Enhanced Question Answering over Knowledge Graph | Jiaying Tian, Bohan Li, Ye Ji and Jiajun Wu | short | 
| 23:35 | 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 | 
| 23:40 | NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion | Shashank Sonkar, Arzoo Katiyar and Richard Baraniuk | short | 
| 23:45 | Q&A for Short Papers (breakout rooms) | ||
| Break (00:00–00:20) | |||
| Keynote III (00:20–1:20) | |||
| Chair: Aidan Hogan | |||
| Distinguishing Graph Neural Networks in terms of their power, and how to choose the right architecture | |||
| Juan Reutter, Professor, Pontificia Universidad Católica de Chile | |||
| December 8th | |||
| Session III: Data, Queries, Semantics (19:00–20:40) | |||
| Chair: Hideaki Takeda | |||
| 19:00 | Extracting Domain-specific Concepts from Large-scale Linked Open Data | Satoshi Kume and Kouji Kozaki | long | 
| 19:20 | Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking | Gaochen Wu, Bin Xu, Yuxin Qin, Weizhou Wang and Geng Wang | long | 
| 19:40 | ROSE-NER: Robust Semi-supervised Named Entity Recognition on Insufficient Labeled Data | Haiyan Chen, Shuwei Yuan and Xiang Zhang | long | 
| 20:00 | 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 | 
| 20:05 | Gene Ranking based on Paths from Phenotypes to Genes on Knowledge Graph | Atsuko Yamaguchi, Jae-Moon Shin and Toyofumi Fujiwara | short | 
| 20:10 | 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 | 
| 20:15 | Pre-classification Supporting Reasoning for Document-level Relation Extraction | Jiehao Zhao, Guiduo Duan and Tianxi Huang | short | 
| 20:20 | Automated Reasoning on Machine Learning Model of Legislative Election Prediction | Yanti Rusmawati | short | 
| 20:25 | Q&A for Short Papers (breakout rooms) | ||
| Break (20:40–21:00) | |||
| Keynote IV (21:00–22:00) | |||
| Chair: Lei Hou | |||
| Knowledge Graph and Machine Learning: Three Key Business Needs | |||
| Yu Xu, Founder & CEO, TigerGraph | |||
| Break (22:00–22:20) | |||
| Session IV: Data, Queries, Semantics (22:20–00:00) | |||
| Chair: TBD | |||
| 22:20 | 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 | 
| 22:40 | Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data | Albert Navarro-Gallinad, Fabrizio Orlandi and Declan O’Sullivan | long | 
| 23:00 | 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 | 
| 23:20 | Knowledge Graph Curation: A Practical Framework | Elwin Huaman and Dieter Fensel | short | 
| 23:25 | 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 | 
| 23:30 | 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 | 
| 23:35 | Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph | Keqi Chen, Jun Ma, Qianwen Zhang and Yue Bai | short | 
| 23:40 | ESDL: Entity Summarization with Deep Learning | Abdulkarim Kushk and Krzysztof Kochut | short | 
| 23:45 | Q&A for Short Papers (breakout rooms) | ||
| Break (00:00–00:20) | |||
| Town Hall (00:20–00:40) | |||
| Chair: Various | |||
| Closing & Awards (00:40–1:00) | |||
| Chair: Various | |||
 
OpenKG
OpenKG(中文开放知识图谱)旨在推动以中文为核心的知识图谱数据的开放、互联及众包,并促进知识图谱算法、工具及平台的开源开放。
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