Fuzzy keyword ontology for annotating and searching event reports

Juhani Hirvonen, Teemu Tommila, Antti Pakonen, Christer Carlsson, Mario Fedrizzi, Robert Fuller

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

7 Citations (Scopus)

Abstract

This paper defines and applies a fuzzy keyword ontology to annotate and search event reports in a database. The ontology is developed by superimposing a fuzzy partonomy on fuzzy classifications. The claim is that fuzzy keywords will help us find event reports even if the event description is incomplete or imprecise and that this will provide benefits in finding the relevant problem reports. This will save time and costs when working with queries on large data- and knowledge bases.

Original languageEnglish
Title of host publicationKEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
Pages251-256
Number of pages6
Publication statusPublished - Dec 1 2010
EventInternational Conference on Knowledge Engineering and Ontology Development, KEOD 2010 - Valencia, Spain
Duration: Oct 25 2010Oct 28 2010

Publication series

NameKEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development

Other

OtherInternational Conference on Knowledge Engineering and Ontology Development, KEOD 2010
CountrySpain
CityValencia
Period10/25/1010/28/10

Keywords

  • Fuzzy ontology
  • Fuzzy partonomy
  • Fuzzy reasoning schemes
  • Knowledge mobilisation
  • Semantic web

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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  • Cite this

    Hirvonen, J., Tommila, T., Pakonen, A., Carlsson, C., Fedrizzi, M., & Fuller, R. (2010). Fuzzy keyword ontology for annotating and searching event reports. In KEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (pp. 251-256). (KEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development).