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 Science And Technology Publications
    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

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    Ontology
    Costs

    Keywords

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

    Cite this

    Hirvonen, J., Tommila, T., Pakonen, A., Carlsson, C., Fedrizzi, M., & Fullér, R. (2010). Fuzzy keyword ontology for annotating and searching event reports. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010 (pp. 251-256). Portugal: SCITEPRESS Science And Technology Publications.
    Hirvonen, Juhani ; Tommila, Teemu ; Pakonen, Antti ; Carlsson, C. ; Fedrizzi, M. ; Fullér, R. / Fuzzy keyword ontology for annotating and searching event reports. Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010. Portugal : SCITEPRESS Science And Technology Publications, 2010. pp. 251-256
    @inproceedings{0acc17721fd546e782b85463bbf3e0bf,
    title = "Fuzzy keyword ontology for annotating and searching event reports",
    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.",
    keywords = "Fuzzy ontology, Fuzzy partonomy, Fuzzy reasoning schemes, Knowledge mobilisation, Semantic web.",
    author = "Juhani Hirvonen and Teemu Tommila and Antti Pakonen and C. Carlsson and M. Fedrizzi and R. Full{\'e}r",
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    Hirvonen, J, Tommila, T, Pakonen, A, Carlsson, C, Fedrizzi, M & Fullér, R 2010, Fuzzy keyword ontology for annotating and searching event reports. in Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010. SCITEPRESS Science And Technology Publications, Portugal, pp. 251-256, International Conference on Knowledge Engineering and Ontology Development KEOD 2010, Valencia, Italy, 25/10/10.

    Fuzzy keyword ontology for annotating and searching event reports. / Hirvonen, Juhani; Tommila, Teemu; Pakonen, Antti; Carlsson, C.; Fedrizzi, M.; Fullér, R.

    Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010. Portugal : SCITEPRESS Science And Technology Publications, 2010. p. 251-256.

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

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    AU - Fullér, R.

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    AB - 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.

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    KW - Fuzzy partonomy

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    Hirvonen J, Tommila T, Pakonen A, Carlsson C, Fedrizzi M, Fullér R. Fuzzy keyword ontology for annotating and searching event reports. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010. Portugal: SCITEPRESS Science And Technology Publications. 2010. p. 251-256