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DOI: 10.14569/IJACSA.2012.030521
PDF

An hybrid method for the Arabic queries disambiguation to improve the relevance calculation in the IRS

Author 1: Adil ENAANAI
Author 2: Aziz SDIGUI DOUKKALI
Author 3: El habib BENLAHMER

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 5, 2012.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: In the information systems, the query’s expansion brings more benefices in the relevant documents extraction. However, the current expansion types are focused on the retrieve of the maximum of documents (reduce the silence). In Arabic, the queries are derived in many morphosemantical variants. Hence the diversity of the semantic interpretations that often creates a problem of ambiguity. Our objective is to prepare the Arabic request before its introduction to the document retrieval system. This type of preparation is based on pretreatment which makes morphological changes to the query by separating affixes of the words. Then, present all of morphosemantical derivatives as a first step to the lexical audit agent, and check the consistency between the words by the context parser. Finally we present a new method of semantic similarity based on the equivalence probability calculation between two words.

Keywords: Relevance; Information research; Similarity; Semantic gene; Arab treatment.

Adil ENAANAI, Aziz SDIGUI DOUKKALI and El habib BENLAHMER, “An hybrid method for the Arabic queries disambiguation to improve the relevance calculation in the IRS” International Journal of Advanced Computer Science and Applications(IJACSA), 3(5), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030521

@article{ENAANAI2012,
title = {An hybrid method for the Arabic queries disambiguation to improve the relevance calculation in the IRS},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030521},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030521},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {5},
author = {Adil ENAANAI and Aziz SDIGUI DOUKKALI and El habib BENLAHMER}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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