A Semi-automatic Mapping Selection in the Ontology Alignment Process

Hafed Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman


Ontologies are considered as one of the most powerful tools for knowledge representation and reasoning. Thus, they are considered as a fundamental support for image annotation, indexing and retrieval. In order to build a remote sensing satellite image ontology that models the geographic objects that we find in a scene, their characteristics as well as their relationships, we propose to reuse existing geographic ontologies to enrich an ontological core. Reusing high quality resources (called source ontologies) helps ensuring a good quality for the extracted knowledge, and alleviating the conceptualization stage, i.e. avoiding building a new ontology from scratch. Ontology alignment is an important phase within the enrichment process. It is a process that allows discovering mappings between core and source ontologies, where each mapping is a couple of entities brought from each ontology and linked together either by an equivalence or a subsumption relationship. Such relationships are based on various similarity measures. In this paper, we first present a brief literature review of existing theoretical frameworks for similarity measures, then we describe a new alignment approach based on a semi-automatic mapping selection process that needs little human intervention. First experiments show the benefit from using the proposed approach.


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Paper Citation

in Harvard Style

Nefzi H., Farah M., Riadh Farah I. and Solaiman B. (2014). A Semi-automatic Mapping Selection in the Ontology Alignment Process . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 459-466. DOI: 10.5220/0005162204590466

in Bibtex Style

author={Hafed Nefzi and Mohamed Farah and Imed Riadh Farah and Basel Solaiman},
title={A Semi-automatic Mapping Selection in the Ontology Alignment Process},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - A Semi-automatic Mapping Selection in the Ontology Alignment Process
SN - 978-989-758-049-9
AU - Nefzi H.
AU - Farah M.
AU - Riadh Farah I.
AU - Solaiman B.
PY - 2014
SP - 459
EP - 466
DO - 10.5220/0005162204590466