Rating the naturalness of ontology taxonomies

Yoo Jung An, Kuo Chuan Huang, James Geller

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

1 Scopus citations

Abstract

The quality of ontologies (QoO) is increasingly becoming a research issue on the Semantic Web. Ontology users may have difficulties locating the proper concepts in large ontologies, due to low quality. To quantify these problems, we use the notion of naturalness. In this paper we evaluate several existing important ontologies (WordNet, UMLS, etc.) to get numeric measures of naturalness. We concentrate on the question to what degree concept pairs connected by IS-A relationships are natural and therefore comprehensible to users.

Original languageEnglish (US)
Title of host publicationProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Pages176-177
Number of pages2
StatePublished - Dec 28 2007
Event20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 - Key West, FL, United States
Duration: May 7 2007May 9 2007

Publication series

NameProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Other

Other20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
CountryUnited States
CityKey West, FL
Period5/7/075/9/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

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