Design and Implementation of an Information Retrieval System by Integrating Semantic Knowledge in the Indexing Phase N. Tazzite*, A. Yousfi **, E. Bouyakhf * * Faculty of Sciences, Vth Mohammed University, Agdal, Rabat, Morocco ** Faculty of Juridical, economic and social Sciences, Vth Mohammed University, Souissi, Rabat, Morocco Abstract: The majority of Information Retrieval Systems (IRS), operational for the time being), use simple keywords to index and search information in a document. These keywords are isolated words, most of the time reduced to a simple root or standardized with a lemmatization. In these systems, a document is indexed by a combination of these keywords neglecting the relationship between semantic words. In this article we suggest to integrate a level of semantics (terminology) in a search engine for the Arabic language. This operation is undertaken in the indexing phase using terminology dictionaries of words to be found. Keywords: Semantics, Information retrieval, terminological dictionary, Okapi, Croft, Harman.
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BibTex @ARTICLE{P1120906634, AUTHOR = {N. Tazzite and A. Yousfi and E. Bouyakhf}, TITLE = {Design and Implementation of an Information Retrieval System by Integrating Semantic Knowledge in the Indexing Phase},
JOURNAL = {ICGST International Journal on Artificial Intelligence and Machine Learning,
AIML},
YEAR = {2009}, VOLUME = {9}, ISSUE ={I}, PAGES = {49--56} }
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P1120906634
