A Semantic-based Approach for Ontology Module Extraction

Amir Souissi, Walid Chainbi, Khaled Ghedira

Abstract

Ontology modularization is crucial to support knowledge reuse on the ever increasing Semantic Web. However, modularization methods that serve the reuse goal are often intended for humans to assist them in building new ontologies, rather than for applications that need only a relevant part of an existing ontology. Moreover, modules obtained are always subject to verification and maintenance by humans to validate the semantic consistency of their contents. In this paper, we investigate how semantic comparisons may provide a module relevant to a set of terms which are not part of the ontology. Our objective is to extract a module which may be usable as a separate ontology. The user does not need to be familiar with the exact terms used inside the ontology beforehand to extract from it a module for a specific application/knowledge sub domain.

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Paper Citation


in Harvard Style

Souissi A., Chainbi W. and Ghedira K. (2013). A Semantic-based Approach for Ontology Module Extraction . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 222-229. DOI: 10.5220/0004544402220229


in Bibtex Style

@conference{keod13,
author={Amir Souissi and Walid Chainbi and Khaled Ghedira},
title={A Semantic-based Approach for Ontology Module Extraction},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={222-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004544402220229},
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 - A Semantic-based Approach for Ontology Module Extraction
SN - 978-989-8565-81-5
AU - Souissi A.
AU - Chainbi W.
AU - Ghedira K.
PY - 2013
SP - 222
EP - 229
DO - 10.5220/0004544402220229