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Scholar-Course Knowledge Graph Construction Based on Graph Database Storage

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Emerging Technologies for Education (SETE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13089))

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Abstract

Knowledge graph is an effective way to model and represent complex linked data, which have attracted broad research in recent years and have been applied in different fields. Considering the data characteristics and development needs of course platform in SCHOLAT, Scholar-Course Knowledge Graph (SCKG) is built with scholars and courses as the core concept and integrated it into the next version of our course platform. The ontology structure of SCKG is constructed first and then extracted knowledge from different data sources by employing D2R technology, web crawlers, etc. so as to add them to SCKG. There are 110,856 entities and 1,674,961 pairs of relationships in total after the construction of SCKG. 13 b-tree indexes and 3 full-text indexes are created on some key properties to speed up the query and we also defined some constraints on SCKG to ensure data consistency.

This work was supported in part by the National Natural Science Foundation of China under Grant U1811263 and Grant 61772211.

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Notes

  1. 1.

    https://www.scholat.com/.

  2. 2.

    https://www.xuetangx.com/.

  3. 3.

    https://www.biendata.xyz/competition/chaindream_mooccube_task1/.

  4. 4.

    https://protege.stanford.edu/.

  5. 5.

    http://www.hozo.jp/.

  6. 6.

    https://github.com/d2rq.

  7. 7.

    https://xueshu.baidu.com/.

  8. 8.

    https://github.com/HtmlUnit.

  9. 9.

    https://neo4j.com/.

  10. 10.

    https://github.com/neo4j-labs/neosemantics.

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Author information

Authors and Affiliations

  1. School of Computer Science, South China Normal University, Guangzhou, China

    Dongyang Zheng, Yongxu Long, Zekai Zhou, Wande Chen, Jianguo Li & Yong Tang

Authors
  1. Dongyang Zheng
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  2. Yongxu Long
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  3. Zekai Zhou
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  4. Wande Chen
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  5. Jianguo Li
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  6. Yong Tang
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Corresponding author

Correspondence to Yong Tang .

Editor information

Editors and Affiliations

  1. Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China

    Weijia Jia

  2. South China Normal University, Guangzhou, China

    Yong Tang

  3. Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Raymond S. T. Lee

  4. Hochschule Magdeburg-Stendal, Magdeburg, Germany

    Michael Herzog

  5. Beijing Normal University-Hong Kong Baptist University United International College, Zhuzai, China

    Hui Zhang

  6. South China Normal University, Guangzhou, China

    Tianyong Hao

  7. Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China

    Tian Wang

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Zheng, D., Long, Y., Zhou, Z., Chen, W., Li, J., Tang, Y. (2021). Scholar-Course Knowledge Graph Construction Based on Graph Database Storage. In: Jia, W., et al. Emerging Technologies for Education. SETE 2021. Lecture Notes in Computer Science(), vol 13089. Springer, Cham. https://doi.org/10.1007/978-3-030-92836-0_40

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  • DOI: https://doi.org/10.1007/978-3-030-92836-0_40

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