Building wikipedia ontology with more semi-structured information resources

Tokio Kawakami, Takeshi Morita, Takahira Yamaguchi

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

4 Citations (Scopus)


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
EditorsZhe Wang, Kewen Wang, Anni-Yasmin Turhan, Xiaowang Zhang
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319706818
Publication statusPublished - 2017
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


Other7th Joint International Conference on Semantic Technology, JIST 2017
CityGold Coast


  • Ontologies
  • Semi-structured information resource
  • Wikipedia

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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