Using Associations and Fuzzy Ontologies for Modeling Chemical Safety Information

Mika Timonen, Antti Pakonen, Teemu Tommila

2013

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.

Paper Citation

in Harvard Style

Timonen M., Pakonen A. and Tommila T. (2013). Using Associations and Fuzzy Ontologies for Modeling Chemical Safety Information . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 26-37. DOI: 10.5220/0004536400260037

in Bibtex Style

@conference{keod13,
author={Mika Timonen and Antti Pakonen and Teemu Tommila},
title={Using Associations and Fuzzy Ontologies for Modeling Chemical Safety Information},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={26-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004536400260037},
isbn={978-989-8565-81-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Using Associations and Fuzzy Ontologies for Modeling Chemical Safety Information
SN - 978-989-8565-81-5
AU - Timonen M.
AU - Pakonen A.
AU - Tommila T.
PY - 2013
SP - 26
EP - 37
DO - 10.5220/0004536400260037