Building wikipedia ontology with more semi-structured information resources

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationSemantic Technology - 7th Joint International Conference, JIST 2017, Proceedings
PublisherSpringer Verlag
Pages3-18
Number of pages16
Volume10675 LNCS
ISBN (Print)9783319706818
DOIs
Publication statusPublished - 2017 Jan 1
Event7th Joint International Conference on Semantic Technology, JIST 2017 - Gold Coast, Australia
Duration: 2017 Nov 102017 Nov 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Joint International Conference on Semantic Technology, JIST 2017
CountryAustralia
CityGold Coast
Period17/11/1017/11/12

Fingerprint

Wikipedia
Ontology
Resources
Evaluate
Concepts

Keywords

  • Ontologies
  • Semi-structured information resource
  • Wikipedia

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kawakami, T., Morita, T., & Yamaguchi, T. (2017). Building wikipedia ontology with more semi-structured information resources. In Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings (Vol. 10675 LNCS, pp. 3-18). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10675 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70682-5_1

Building wikipedia ontology with more semi-structured information resources. / Kawakami, Tokio; Morita, Takeshi; Yamaguchi, Takahira.

Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS Springer Verlag, 2017. p. 3-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10675 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kawakami, T, Morita, T & Yamaguchi, T 2017, Building wikipedia ontology with more semi-structured information resources. in Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. vol. 10675 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10675 LNCS, Springer Verlag, pp. 3-18, 7th Joint International Conference on Semantic Technology, JIST 2017, Gold Coast, Australia, 17/11/10. https://doi.org/10.1007/978-3-319-70682-5_1
Kawakami T, Morita T, Yamaguchi T. Building wikipedia ontology with more semi-structured information resources. In Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS. Springer Verlag. 2017. p. 3-18. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70682-5_1
Kawakami, Tokio ; Morita, Takeshi ; Yamaguchi, Takahira. / Building wikipedia ontology with more semi-structured information resources. Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS Springer Verlag, 2017. pp. 3-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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