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Semantic indexing of Arabic texts for information retrieval system |
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| Authors: | Mohammed Alaeddine Abderrahim Mohammed Dib Mohammed El-Amine Abderrahim Mohammed Amine Chikh |
| Affiliation: | 1.Department of Computer Sciences,Abu Bekr Belkaid University,Tlemcen,Algeria;2.Department of Letters and English Language,Mustapha Stambouli University,Mascara,Algeria;3.Department of Electrical and Electronic Engineering,Abu Bekr Belkaid University,Tlemcen,Algeria |
| Abstract: | As part of information retrieval systems (IRS) and in the context of the use of ontologies for documents and queries indexing, we propose and evaluate in this paper the contribution of this approach applied to Arabic texts. To do this we indexed a corpus of Arabic text using Arabic WordNet. The disambiguation of words was performed by applying the Lesk algorithm. The results obtained by our experiment allowed us to deduct the contribution of this approach in IRS for Arabic texts. |
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