Abstract
In this paper we propose a novel approach for domain
modeling that combines two different types of models: (1)
fuzzy ontology that describes the concepts of the domain
and their relations in a formal way, and (2) association
model that presents the associations between the terms of
the domain. We utilize the combined model for query
expansion by finding both highly associative and related
concepts for the query terms. To demonstrate the
feasibility of the model and its utilization, we use the
query expansion in a search engine of chemical safety
cards.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 5th International Conference on Knowledge Engineering and Ontology Development |
| Subtitle of host publication | KEOD 2013 |
| Publisher | SciTePress |
| Pages | 26-37 |
| ISBN (Print) | 978-9-8985-6581-5 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A4 Article in a conference publication |
| Event | 5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013 - Algarve, Portugal Duration: 19 Sept 2013 → 22 Sept 2013 |
Conference
| Conference | 5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013 |
|---|---|
| Abbreviated title | KEOD 2013 |
| Country/Territory | Portugal |
| City | Algarve |
| Period | 19/09/13 → 22/09/13 |
Keywords
- association modeling
- chemical safety information
- fuzzy ontology
- knowledge modeling
- query expansion