A fuzzy ontology based approach for mobilising industrial plant knowledge

Antti Pakonen, Teemu Tommila, Juhani Hirvonen

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

    5 Citations (Scopus)

    Abstract

    Semantic Web technologies - ontologies in particular - aim at efficient access to heterogeneous, distributed knowledge. However, current ontology languages such as OWL cannot properly address uncertainties, inconsistencies or contradictions. Fuzzy ontologies have been proposed to fix these shortcomings and further enhance information retrieval. The domain of industrial process plants faces many knowledge management challenges. Knowledge in e.g. the form of written reports is stored in different systems, but retrieval is often ineffective and reuse therefore limited. This paper presents an attempt at applying a fuzzy ontology for searching reports of past situations of interest at a process plant. The aim has been to get richer search results from a knowledge base by extending the query with fuzzy neighbour concepts.
    Original languageEnglish
    Title of host publication2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4244-6850-8
    ISBN (Print)978-1-4244-6849-2, 978-1-4244-6848-5
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA4 Article in a conference publication
    Event15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010 - Bilbao, Spain
    Duration: 13 Sep 201016 Sep 2010
    Conference number: 15

    Conference

    Conference15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010
    Abbreviated titleEFTA 2010
    CountrySpain
    CityBilbao
    Period13/09/1016/09/10

    Keywords

    • Knowledge management
    • fuzzy ontology
    • knowledge mobilisation

    Fingerprint Dive into the research topics of 'A fuzzy ontology based approach for mobilising industrial plant knowledge'. Together they form a unique fingerprint.

    Cite this