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SemanticBoolhean Arabic information retrieval
Joint Authors
Abd al-Qadir, Hatim
al-Abd, Imad
al-Shari, Isa
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 3 (31 May. 2015)6 p.
Publisher
Publication Date
2015-05-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Topics
Abstract EN
Arabic language is one of the most widely spoken languages.
This language has a complex morphological structure and is considered as one of the most prolific languages in terms of article linguistic.
Therefore, Arabic Information Retrieval (AIR) models need specific techniques to deal with this complex morphological structure.
This paper aims to develop an integrate AIR frameworks.
It lists and analysis the different Information Retrieval (IR) methods and techniques such as query processing, stemming, and indexing which are used in AIR systems.
We conclude that Arabic information retrieval frameworks have a weakness to deal with semantic in term of Indexing, Boolean model , Latent Semantic Analysis (LSA), Latent semantic Index (LSI), and semantic ranking.
Therefore, semantic Boolean IR framework is proposed in this paper.
This model is implemented and the precision, recall and run time are measured and compared with the traditional IR model.
American Psychological Association (APA)
al-Abd, Imad& al-Shari, Isa& Abd al-Qadir, Hatim. 2015. SemanticBoolhean Arabic information retrieval. The International Arab Journal of Information Technology،Vol. 12, no. 3.
https://search.emarefa.net/detail/BIM-431091
Modern Language Association (MLA)
al-Abd, Imad…[et al.]. SemanticBoolhean Arabic information retrieval. The International Arab Journal of Information Technology Vol. 12, no. 3 (May. 2015).
https://search.emarefa.net/detail/BIM-431091
American Medical Association (AMA)
al-Abd, Imad& al-Shari, Isa& Abd al-Qadir, Hatim. SemanticBoolhean Arabic information retrieval. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 3.
https://search.emarefa.net/detail/BIM-431091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-431091