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In the context of arabic Information Retrieval Systems (IRS) guided by arabicontology and to enable those systems to better respond to user requirements,this paper aims to representing documents and queries by the best conceptsextracted from Arabic Wordnet. Identified concepts belonging to Arabic WordNetsynsets are extracted from documents and queries, and those having a singlesense are expanded. The expanded query is then used by the IRS to retrieve therelevant documents searched. Our experiments are based primarily on a mediumsize corpus of arabic text. The results obtained shown us that there are aglobal improvement in the performance of the arabic IRS.

Using Arabic Wordnet for semantic indexation in information retrieval system