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Building Wikipedia Ontology with More Semi-structured Information Resources

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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

Wikipedia has been recently drawing attention as a semi-structured information resource for the automatic building of ontology. This paper describes a method of building general-purpose “lightweight ontology” by semi-automatically extracting the Is-a relation (rdfs:subClassOf), class-instance relation (rdf:type), concepts such as Triple, and a relation between concepts from information that includes category trees, define statements, lists and Wikipedia infoboxes. Also, we evaluate the built ontology by comparing it with other Wikipedia ontologies, such as YAGO and DBpedia.

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Notes

  1. 1.

    https://wordnet.princeton.edu/.

  2. 2.

    http://wiki.dbpedia.org/.

  3. 3.

    http://www.geonames.org/.

  4. 4.

    http://code.google.com/p/gwtwiki.

  5. 5.

    http://nlp.stanford.edu/software/lex-parser.shtml.

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Correspondence to Tokio Kawakami .

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Kawakami, T., Morita, T., Yamaguchi, T. (2017). Building Wikipedia Ontology with More Semi-structured Information Resources. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-70682-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70681-8

  • Online ISBN: 978-3-319-70682-5

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