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University Knowledge Graph Construction Based on Academic Social Network

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1681))

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Abstract

Knowledge graph is an important knowledge representation method in the era of big data. It has become one of the key technologies of artificial intelligence and has been applied in different fields. However, there are relatively few studies on university knowledge graphs combined with academic social networks. Therefore, in this paper, we combine the academic social network SCHOLAT to complete the construction of the university knowledge graph. We first construct the ontology of the knowledge graph, then extract and fuse knowledge from data that come from different sources, and add the output knowledge to the knowledge graph. The university knowledge graph has 191,089 entities and 1,638,275 relationship pairs after the construction is completed, and we store it in the Neo4j database to provide knowledge reserve for subsequent applications. In addition to the construction, we also conduct an application analysis to study its application in university knowledge graph-based Q &A system.

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Notes

  1. 1.

    https://www.scholat.com.

  2. 2.

    https://protege.stanford.edu.

  3. 3.

    http://neon-toolkit.org/wiki/Main_Page.html.

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Acknowledgment

This work was supported in part by the National Natural Science Foundation of China under Grant U1811263.

Author information

Authors and Affiliations

  1. South China Normal University, Guangzhou, 510631, China

    Yanzhen Yang, Jingsong Leng, Ronghua Lin & Jianguo Li

  2. Pazhou Lab, Guangzhou, 510330, China

    Yanzhen Yang, Jingsong Leng, Ronghua Lin & Feiyi Tang

  3. Guangzhou Panyu Polytechnic, Guangzhou, 511483, China

    Feiyi Tang

Authors
  1. Yanzhen Yang
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  2. Jingsong Leng
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  3. Ronghua Lin
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  4. Jianguo Li
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  5. Feiyi Tang
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Corresponding author

Correspondence to Jianguo Li .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Fudan University, Shanghai, China

    Tun Lu

  3. Taiyuan University of Science and Technology, Taiyuan, China

    Yinzhang Guo

  4. Shanxi Datong University, Datong, China

    Xiaoxia Song

  5. Tongji University, Shanghai, China

    Hongfei Fan

  6. Guangdong University of Technology, Guangzhou, China

    Dongning Liu

  7. University of Shanghai for Science and Technology, Shanghai, China

    Liping Gao

  8. Tongji University, Shanghai, China

    Bowen Du

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Yang, Y., Leng, J., Lin, R., Li, J., Tang, F. (2023). University Knowledge Graph Construction Based on Academic Social Network. In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1681. Springer, Singapore. https://doi.org/10.1007/978-981-99-2356-4_13

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  • DOI: https://doi.org/10.1007/978-981-99-2356-4_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2355-7

  • Online ISBN: 978-981-99-2356-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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