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DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch

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Database Systems for Advanced Applications (DASFAA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10178))

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Abstract

In recent years, we have witnessed the technical advances in general knowledge graph construction. However, for a specific domain, harvesting precise and fine-grained knowledge is still difficult due to the long-tail property of entities and relations, together with the lack of high-quality, wide-coverage data sources. In this paper, a domain knowledge graph construction system DKGBuilder is presented. It utilizes a template-based approach to extract seed knowledge from semi-structured data. A word embedding based projection model is proposed to extract relations from text under the framework of distant supervision. We further employ an is-a relation classifier to learn a domain taxonomy using a bottom-up strategy. For demonstration, we construct a Chinese entertainment knowledge graph from Wikipedia to support several knowledge service functionalities, containing over 0.7M facts with 93.1% accuracy.

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Notes

  1. 1.

    http://baike.baidu.com/.

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Acknowledgements

This work is partially supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000904 and NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization under Grant No. U1509219.

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Authors and Affiliations

  1. Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, Shanghai, China

    Yan Fan, Chengyu Wang & Xiaofeng He

  2. Department of Computer and Information Technology, Zhejiang Police College, Hangzhou, China

    Guomin Zhou

Authors
  1. Yan Fan
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  2. Chengyu Wang
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  3. Guomin Zhou
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  4. Xiaofeng He
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Corresponding author

Correspondence to Xiaofeng He .

Editor information

Editors and Affiliations

  1. Arizona State University, Tempe - Phoenix, Arizona, USA

    Selçuk Candan

  2. of Science and Technology, Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  3. Aalborg University , Aalborg, Denmark

    Torben Bach Pedersen

  4. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

  5. The University of Queensland , Brisbane, Queensland, Australia

    Wen Hua

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Fan, Y., Wang, C., Zhou, G., He, X. (2017). DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch. In: Candan, S., Chen, L., Pedersen, T., Chang, L., Hua, W. (eds) Database Systems for Advanced Applications. DASFAA 2017. Lecture Notes in Computer Science(), vol 10178. Springer, Cham. https://doi.org/10.1007/978-3-319-55699-4_42

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  • DOI: https://doi.org/10.1007/978-3-319-55699-4_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55698-7

  • Online ISBN: 978-3-319-55699-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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