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)
PublisherInstitute of Electrical and Electronic Engineers IEEE
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

Fingerprint

Ontology
Industrial plants
Knowledge management
Semantic Web
Information retrieval

Keywords

  • Knowledge management
  • fuzzy ontology
  • knowledge mobilisation

Cite this

Pakonen, A., Tommila, T., & Hirvonen, J. (2010). A fuzzy ontology based approach for mobilising industrial plant knowledge. In 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010) Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ETFA.2010.5641200
Pakonen, Antti ; Tommila, Teemu ; Hirvonen, Juhani. / A fuzzy ontology based approach for mobilising industrial plant knowledge. 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010). Institute of Electrical and Electronic Engineers IEEE, 2010.
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Pakonen, A, Tommila, T & Hirvonen, J 2010, A fuzzy ontology based approach for mobilising industrial plant knowledge. in 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010). Institute of Electrical and Electronic Engineers IEEE, 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010, Bilbao, Spain, 13/09/10. https://doi.org/10.1109/ETFA.2010.5641200

A fuzzy ontology based approach for mobilising industrial plant knowledge. / Pakonen, Antti; Tommila, Teemu; Hirvonen, Juhani.

2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010). Institute of Electrical and Electronic Engineers IEEE, 2010.

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

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N2 - 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.

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Pakonen A, Tommila T, Hirvonen J. A fuzzy ontology based approach for mobilising industrial plant knowledge. In 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010). Institute of Electrical and Electronic Engineers IEEE. 2010 https://doi.org/10.1109/ETFA.2010.5641200