OAG: Linking Entities across Large-scale Heterogeneous Knowledge Graphs-Reference-Cited by-同舟云学术

OAG: Linking Entities across Large-scale Heterogeneous Knowledge Graphs

Published:2022 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhang Fanjin¹^ORCID,Liu Xiao¹^ORCID,Tang Jie¹^ORCID,Dong Yuxiao¹^ORCID,Yao Peiran²,Zhang Jie¹,Gu Xiaotao³,Wang Yan¹,Kharlamov Evgeny⁴,Shao Bin⁵,Li Rui⁵,Wang Kuansan⁶

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Department of Computing Science, University of Alberta, Edmonton, Canada

3. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

4. Bosch Center for Artificial Intelligence, Renningen, Germany

5. Microsoft, Beijing, China

6. Microsoft Research, Redmond, WA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09950622.pdf?arnumber=9950622

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