Fuzzy keyword ontology for annotating and searching event reports

Juhani Hirvonen, Teemu Tommila, Antti Pakonen, C. Carlsson, M. Fedrizzi, R. Fullér

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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 publicationProceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010
Place of PublicationPortugal
PublisherSciTePress
Pages251-256
ISBN (Print)978-989-8425-29-4
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Knowledge Engineering and Ontology Development KEOD 2010 - Valencia, Italy
Duration: 25 Oct 201028 Oct 2010

Conference

ConferenceInternational Conference on Knowledge Engineering and Ontology Development KEOD 2010
Abbreviated titleKEOD 2010
CountryItaly
CityValencia
Period25/10/1028/10/10

Keywords

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

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