Using associations and fuzzy ontologies for modeling chemical safety information

Mika Timonen, Antti Pakonen, Teemu Tommila

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

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 languageEnglish
Title of host publication Proceedings of the 5th International Conference on Knowledge Engineering and Ontology Development
Subtitle of host publicationKEOD 2013
PublisherSciTePress
Pages26-37
ISBN (Print)978-9-8985-6581-5
DOIs
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013 - Algarve, Portugal
Duration: 19 Sep 201322 Sep 2013

Conference

Conference5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013
Abbreviated titleKEOD 2013
CountryPortugal
CityAlgarve
Period19/09/1322/09/13

Keywords

  • association modeling
  • chemical safety information
  • fuzzy ontology
  • knowledge modeling
  • query expansion

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