Skip to Main content Skip to Navigation
Journal articles

How Ontology Can be Used to Improve Semantic Information Retrieval: The AnimSe Finder Tool

Abstract : In this paper, we propose a new approach for locating and retrieving documents; the search process is guided by the 'AnimOnto' domain ontology that we have constructed for this purpose. This ontology is used at two different stages: First, for the semantic indexing of documents, in this stage the representative concepts of each document are selected by a projection of the ontology on the document by attaching their terms to the 'AnimOnto' concepts. Then, during the semantics queries reformulation; in this stage we exploit the semantic links between concepts to expand the initial query. To validate these proposals, we have implemented the 'AnimSe Finder' tool (Animal Semantic Finder) which materializes the different phases of the proposed approach. The obtained scores show that the semantic indexing and the queries reformulation have generated a gain of 13.06 in terms of recall and 16.13 in terms of precision, which significantly reduces the documentary noise and silence.
Document type :
Journal articles
Complete list of metadatas

https://hal-supelec.archives-ouvertes.fr/hal-00659055
Contributor : Evelyne Faivre <>
Submitted on : Thursday, January 12, 2012 - 8:49:26 AM
Last modification on : Tuesday, August 6, 2019 - 2:02:07 PM

Links full text

Identifiers

Collections

Citation

Abdelkrim Bouramoul, Mohamed-Khireddine Kholladi, Bich-Liên Doan. How Ontology Can be Used to Improve Semantic Information Retrieval: The AnimSe Finder Tool. International Journal of Computer Applications, Foundation of Computer Science, 2011, 21 (9), pp.48-54. ⟨10.5120/2536-3461⟩. ⟨hal-00659055⟩

Share

Metrics

Record views

233