RAX System to Rank Arabic XML Documents
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 12
Abstract
This paper describes an RAX System designed for ranking Arabic documents in information retrieval processes. The proposed solution basically depends on the similarity of textual content. The model we have designed can be used for documents stored in the different formats and written in Arabic language. Due the complex lingual semantics of this language the proposed solution uses a pure statistical approach. The design and implementation are based on existing text processing frameworks and referent Arabic grammar. The main focus of our research has been the evaluation of different similarity measures used for classifying Arabic documents from different domains and different document categories based on query criteria provided by the user.
Authors and Affiliations
Hesham Elzentani, Mladen Veinovic, Goran Šimic
Keywords
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- EP ID EP397308
- DOI 10.14569/IJACSA.2016.071224
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