Entity Alignment: Concepts, Recent Advances and Novel Approaches

Author:   Xiang Zhao ,  Weixin Zeng ,  Jiuyang Tang
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2023
ISBN:  

9789819942527


Pages:   247
Publication Date:   26 October 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Entity Alignment: Concepts, Recent Advances and Novel Approaches


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Author:   Xiang Zhao ,  Weixin Zeng ,  Jiuyang Tang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.403kg
ISBN:  

9789819942527


ISBN 10:   9819942527
Pages:   247
Publication Date:   26 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Xiang Zhao is a Professor with Laboratory for Big Data and Decision, National University of Defense Technology (NUDT), China. In 2013, he received his PhD in Computer Science and Engineering from the University of New South Wales (UNSW), Australia. His research interests include knowledge graphs, advanced data management, and information retrieval. He has published over 100 refereed papers in leading journals and conference proceedings. Prof. Zhao has served on the technical program committees of various international conferences, including VLDB, ICDE, KDD, ACL and AAAI, and as program co-chair of WISA 2023, vice program co-chair of IEEE BigData 2023, area co-chair of CCKS 2022, tutorial co-chair of APWeb-WAIM 2022, etc. He was selected for the ACM SIGMOD China Rising Star award in 2018. Weixin Zeng is a Lecturer with Laboratory for Big Data and Decision, National University of Defense Technology (NUDT), China. His research interests include knowledge graphs, entity alignment and entity linking. He has published over 30 papers in leading journals and conference proceedings, including ACM TOIS, SIGIR, The VLDB Journal, IEEE TKDE and ICDE. He has served as a program committee member or reviewer for various international events, including ACL, AAAI and TKDE. Jiuyang Tang is a Professor with Laboratory for Big Data and Decision, National University of Defense Technology (NUDT), China. He received his PhD degree from the NUDT in 2006. His research interests include knowledge graphs and advanced data analytics. He has published over 60 papers in leading journals and conference proceedings, including ACM TOIS, SIGIR, IEEE TKDE and The VLDB Journal.

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