Extracting property semantics from Japanese Wikipedia

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

5 Citations (Scopus)

Abstract

Here is discussed how to build up ontology with many properties from Japanese Wikipedia. The ontology includes is-a relationship (rdfs:subClassOf), class-instance relationship (rdf:type) and synonym relation (skos:altLabel) moreover it includes property relations and types. Property relations are triples, property domain (rdfs:domain) and property range (rdfs:range). Property types are object (owl:ObjectProperty), data (owl:DatatypeProperty), symmetric (owl:SymmetricProperty), transitive (owl:TransitiveProperty), functional (owl:FunctionalProperty) and inverse functional (owl:InverseFunctionalProperty).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages357-368
Number of pages12
Volume7669 LNCS
DOIs
Publication statusPublished - 2012
Event8th International Conference on Active Media Technology, AMT 2012 - Macau, China
Duration: 2012 Dec 42012 Dec 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7669 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Active Media Technology, AMT 2012
CountryChina
CityMacau
Period12/12/412/12/7

Fingerprint

Wikipedia
Ontology
Semantics
Range of data

Keywords

  • ontology
  • ontology learning
  • property definition
  • Wikipedia

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tamagawa, S., Morita, T., & Yamaguchi, T. (2012). Extracting property semantics from Japanese Wikipedia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7669 LNCS, pp. 357-368). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7669 LNCS). https://doi.org/10.1007/978-3-642-35236-2_36

Extracting property semantics from Japanese Wikipedia. / Tamagawa, Susumu; Morita, Takeshi; Yamaguchi, Takahira.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7669 LNCS 2012. p. 357-368 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7669 LNCS).

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

Tamagawa, S, Morita, T & Yamaguchi, T 2012, Extracting property semantics from Japanese Wikipedia. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7669 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7669 LNCS, pp. 357-368, 8th International Conference on Active Media Technology, AMT 2012, Macau, China, 12/12/4. https://doi.org/10.1007/978-3-642-35236-2_36
Tamagawa S, Morita T, Yamaguchi T. Extracting property semantics from Japanese Wikipedia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7669 LNCS. 2012. p. 357-368. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-35236-2_36
Tamagawa, Susumu ; Morita, Takeshi ; Yamaguchi, Takahira. / Extracting property semantics from Japanese Wikipedia. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7669 LNCS 2012. pp. 357-368 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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