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Towards Knowledge Graphs Federations: Issues and Technologies

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Web and Big Data. APWeb-WAIM 2020 International Workshops (APWeb-WAIM 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1373))

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Abstract

In recent decades, knowledge graph plays an increasingly significant role in intelligent information services. However, for some domains, knowledge graphs are constructed for special purposes and disconnected with each other, which fails to take advantage of knowledge from different knowledge graphs. To this end, we are motivated to propose the concept of knowledge graph federation. In this keynote, we first discuss the issues about knowledge graph federation, and then we introduce two technologies of automatic knowledge graph construction, i.e., relation extraction and entity alignment. The issues in this keynote will provide guidelines for the development of knowledge graph technology.

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Acknowledgement

The author was partially supported by NSFC under grants Nos. 61872446, 61902417, 71971212 and U19B2024, and NSF of Hunan Province under grant No. 2019JJ20024.

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Authors and Affiliations

  1. National Univerisity of Defense Technology, Changsha, China

    Xiang Zhao

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  1. Xiang Zhao
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Correspondence to Xiang Zhao .

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Editors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, China

    Qun Chen

  2. Deakin University, Geelong, VIC, Australia

    Jianxin Li

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Zhao, X. (2021). Towards Knowledge Graphs Federations: Issues and Technologies. In: Chen, Q., Li, J. (eds) Web and Big Data. APWeb-WAIM 2020 International Workshops. APWeb-WAIM 2020. Communications in Computer and Information Science, vol 1373. Springer, Singapore. https://doi.org/10.1007/978-981-16-0479-9_6

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  • DOI: https://doi.org/10.1007/978-981-16-0479-9_6

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