EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment

Manel Elloumi-Chaabene, Nesrine Ben Mustapha, Hajer Baazaoui-Zghal, Antonio Moreno, David Sánchez

Abstract

The exponential growth of the data available on the Web requires more efficient search tools to find relevant information. In the context of the Semantic Web, ontologies improve the exploitation of Web resources by adding a consensual knowledge. However, the automation of ontology building is a hard problem. The exploitation of the users’ search feedback can aid to address that problem. In order to apply this solution, we present a semantic search system based on case-based-reasoning (CBR) and ontologies that automatically enriches the ontologies by using previous queries. In this paper we expose the contribution of CBR and ontologies in Semantic Web search. Some experiments on the system are presented, and the obtained results show an improvement on the precision of the Web search and ontology enrichment.

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Paper Citation


in Harvard Style

Elloumi-Chaabene M., Ben Mustapha N., Baazaoui-Zghal H., Moreno A. and Sánchez D. (2010). EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 24-34. DOI: 10.5220/0003067600240034


in Bibtex Style

@conference{kdir10,
author={Manel Elloumi-Chaabene and Nesrine Ben Mustapha and Hajer Baazaoui-Zghal and Antonio Moreno and David Sánchez},
title={EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment },
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={24-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003067600240034},
isbn={978-989-8425-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment
SN - 978-989-8425-28-7
AU - Elloumi-Chaabene M.
AU - Ben Mustapha N.
AU - Baazaoui-Zghal H.
AU - Moreno A.
AU - Sánchez D.
PY - 2010
SP - 24
EP - 34
DO - 10.5220/0003067600240034