Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010 |
| Place of Publication | Portugal |
| Publisher | SCITEPRESS Science And Technology Publications |
| Pages | 251-256 |
| ISBN (Print) | 978-989-8425-29-4 |
| 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
| Conference | International Conference on Knowledge Engineering and Ontology Development KEOD 2010 |
|---|---|
| Abbreviated title | KEOD 2010 |
| Country | Italy |
| City | Valencia |
| Period | 25/10/10 → 28/10/10 |
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Keywords
- Fuzzy ontology
- Fuzzy partonomy
- Fuzzy reasoning schemes
- Knowledge mobilisation
- Semantic web.
Cite this
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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 proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Fuzzy keyword ontology for annotating and searching event reports
AU - Hirvonen, Juhani
AU - Tommila, Teemu
AU - Pakonen, Antti
AU - Carlsson, C.
AU - Fedrizzi, M.
AU - Fullér, R.
N1 - Project code: 18101
PY - 2010
Y1 - 2010
N2 - 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.
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.
KW - Fuzzy ontology
KW - Fuzzy partonomy
KW - Fuzzy reasoning schemes
KW - Knowledge mobilisation
KW - Semantic web.
M3 - Conference article in proceedings
SN - 978-989-8425-29-4
SP - 251
EP - 256
BT - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2010
PB - SCITEPRESS Science And Technology Publications
CY - Portugal
ER -