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Application of Open-Source Software in Knowledge Graph Construction

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e-Learning, e-Education, and Online Training (eLEOT 2020)

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Abstract

Knowledge graph (KG), as a new type of knowledge representation, has gained much attention in knowledge engineering. It is difficult for researchers to construct a high-quality KG. Open-source software (OSS) has been slightly used for the knowledge graph construction, which provide an easier way for researchers to development KG quickly. In this work, we discuss briefly the process of KGC and involved techniques at first. This review also summarizes several OSSs available on the web, and their main functions and features, etc. We hope this work can provide some useful reference for knowledge graph construction.

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Acknowledgments

The research is supported by a National Nature Science Fund Project (No. 61967015), and specific project of teacher education of Yunnan Province education science planning (Union of higher education teachers) (GJZ171802).

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Authors and Affiliations

  1. Yunnan Normal University, Kunming, 650500, YN, China

    Qianqian Cao & Bo Zhao

  2. Key Laboratory of Educational Information for Nationalities, Ministry of Education, Kunming, 650500, YN, China

    Qianqian Cao

Authors
  1. Qianqian Cao
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  2. Bo Zhao
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Corresponding author

Correspondence to Bo Zhao .

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Editors and Affiliations

  1. Human Normal University, Changsha, China

    Shuai Liu

  2. Harbin University, Harbin, China

    Guanglu Sun

  3. Hunan Normal University, Changsha, China

    Weina Fu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cao, Q., Zhao, B. (2020). Application of Open-Source Software in Knowledge Graph Construction. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-63955-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63954-9

  • Online ISBN: 978-3-030-63955-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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