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Missing RDF Triples Detection and Correction in Knowledge Graphs

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Semantic Technology (JIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10675))

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Abstract

Knowledge graphs (KGs) have become a powerful asset in information science and technology. To foster enhancing search, information retrieval and question answering domains KGs offer effective structured information. KGs represent real-world entities and their relationships in Resource Description Framework (RDF) triples format. Despite the large amount of knowledge, there are still missing and incorrect knowledge in the KGs. We study the graph patterns of interlinked entities to discover missing and incorrect RDF triples in two KGs - DBpedia and YAGO. We apply graph-based approach to map similar object properties and apply similarity based approach to map similar datatype properties. Our propose methods can utilize those similar ontology properties and efficiently discover missing and incorrect RDF triples in DBpedia and YAGO.

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Notes

  1. 1.

    http://www.w3.org/1999/02/22-rdf-syntax-ns#type.

  2. 2.

    yago: http://yago-knowledge.org/resource/.

  3. 3.

    db-onto: http://dbpedia.org/ontology/.

  4. 4.

    db-prop: http://dbpedia.org/property/.

  5. 5.

    dbpedia: http://dbpedia.org/resource/.

  6. 6.

    https://virtuoso.openlinksw.com/.

  7. 7.

    http://www.w3.org/2003/01/geo/wgs84_pos#lat.

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Acknowledgements

This work was partially supported by NEDO (New Energy and Industrial Technology Development Organization).

Author information

Authors and Affiliations

  1. National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

    Lihua Zhao & Ryutaro Ichise

  2. SOKENDAI (The Graduate University for Advanced Studies), Hayama, Japan

    Rumana Ferdous Munne, Natthawut Kertkeidkachorn & Ryutaro Ichise

  3. National Institute of Informatics, Tokyo, Japan

    Rumana Ferdous Munne, Natthawut Kertkeidkachorn & Ryutaro Ichise

Authors
  1. Lihua Zhao
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  2. Rumana Ferdous Munne
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  3. Natthawut Kertkeidkachorn
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  4. Ryutaro Ichise
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Corresponding author

Correspondence to Rumana Ferdous Munne .

Editor information

Editors and Affiliations

  1. Griffith University, Brisbane, Queensland, Australia

    Zhe Wang

  2. Dresden University of Technology, Dresden, Germany

    Anni-Yasmin Turhan

  3. Griffith University, Brisbane, Queensland, Australia

    Kewen Wang

  4. Tianjin University, Tianjin, China

    Xiaowang Zhang

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Zhao, L., Munne, R.F., Kertkeidkachorn, N., Ichise, R. (2017). Missing RDF Triples Detection and Correction in Knowledge Graphs. In: Wang, Z., Turhan, AY., Wang, K., Zhang, X. (eds) Semantic Technology. JIST 2017. Lecture Notes in Computer Science(), vol 10675. Springer, Cham. https://doi.org/10.1007/978-3-319-70682-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-70682-5_11

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  • Online ISBN: 978-3-319-70682-5

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