文章基本信息

标题：An hybrid method for the Arabic queries disambiguation to improve the relevance calculation in the IRS
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作者：Adil Enaanai ; Aziz Sdigui Goukkali ; El Habib Benlahmer 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：In this article, we introduced a new approach to facilitate the calculation of relevance in information research systems in Arabic langage. Our method is to remove the morphosemantic ambiguity due to agglutination, and lack of vocalization of the Arabic words. To do, we have proposed to transform words to semantic gene. The latter represent an accurate realization of the meaning of the word. They contain the type, the context, the definition and vocalized shape of all possible cases may be taken in the Arabic word. In our approach we consider all the possible meanings of the terms by applying a morphosemantic variation based on a recursive algorithm. Obtained variants are filtering by using of the sentence context, the user profile and the synthesis of an Arabic phrase rules. The result is a semantically coherent text ready to be used by an information search system.
关键词：semantic gene; Arabic disambiguation; TALN; Information research