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.
|Title of host publication||Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010|
|Place of Publication||Portugal|
|Publication status||Published - 2010|
|MoE publication type||A4 Article in a conference publication|
|Event||International Conference on Knowledge Engineering and Ontology Development KEOD 2010 - Valencia, Italy|
Duration: 25 Oct 2010 → 28 Oct 2010
|Conference||International Conference on Knowledge Engineering and Ontology Development KEOD 2010|
|Abbreviated title||KEOD 2010|
|Period||25/10/10 → 28/10/10|
- Fuzzy ontology
- Fuzzy partonomy
- Fuzzy reasoning schemes
- Knowledge mobilisation
- Semantic web.
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). SciTePress.