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 language | English |
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Title of host publication | 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010) |
Publisher | IEEE 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 status | Published - 2010 |
MoE publication type | A4 Article in a conference publication |
Event | 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010 - Bilbao, Spain Duration: 13 Sept 2010 → 16 Sept 2010 Conference number: 15 |
Conference
Conference | 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010 |
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Abbreviated title | EFTA 2010 |
Country/Territory | Spain |
City | Bilbao |
Period | 13/09/10 → 16/09/10 |
Keywords
- Knowledge management
- fuzzy ontology
- knowledge mobilisation