Invited Speakers
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Prof. Dandan Song
Beijing Institute of Technology
Title:Research of Entity Alignment for Knowledge Graphs
8 October 2023 09:00am
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Abstract: The talk is about the recent developments in entity alignment research within knowledge graphs. It will provide a preliminary overview of research challenges and directions in recent papers presented at major international conferences over the past two years. Challenges and achievements in entity alignment across seven aspects: data labeling, effective information extraction, computational efficiency, similarity computation, dynamic changes, multi-modal entity alignment, and continuous entity alignment will be introduced with insights into the future.
Short Biography: Dr. Dandan Song is a tenured professor in School of Computer Science and Technology, Beijing Institute of Technology. She received her B.S. and Ph.D. degrees from the Department of Computer Science and Technology, Tsinghua University in 2004 and 2009, respectively. Her research interests include knowledge mining, natural language processing, and bioinformatics. She has published many papers in Nature sub-journal, ACL, SIGIR, IJCAI, AAAI, WWW and other top international conferences and important academic journals.