Title: Towards a framework for ontology-based information retrieval services

Authors: Amir Zidi; Mourad Abed

Addresses: Univ Lille Nord de France, F-59000 Lille, UVHC, LAMIH, F59313 Valenciennes, CNRS, UMR 8201, F-59313 Valenciennes, France ' Univ Lille Nord de France, F-59000 Lille, UVHC, LAMIH, F59313 Valenciennes, CNRS, UMR 8201, F-59313 Valenciennes, France

Abstract: In this paper, we present a complete ontology-based framework for the extraction and retrieval of semantic information in specific domains. We focus on the recognition of semantic information extracted from data sources and the mapping of this knowledge into ontology. In order to achieve more scalability, we propose an approach for semantic indexing based on entity retrieval model. The proposed approach was validated using an example of ontology in public transportation domain. Finally, we evaluated our system using ontology mapping and real world data sources. Experiment results show that our proposed framework can provide meaningful search results.

Keywords: information retrieval; public transport ontology; semantic indexing; entity retrieval; ontology mapping.

DOI: 10.1504/IJSOM.2014.065329

International Journal of Services and Operations Management, 2014 Vol.19 No.2, pp.138 - 150

Published online: 31 Oct 2014 *

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