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  State of the Art in Semantic Web Search Techniques for Arabic Language  
  Authors : Ruqaia Jwad   Dr.Norita Md Norwawi    Bala Musa
  Cite as: ijcsn.org/IJCSN-2013/2-5/IJCSN-2013-2-5-14.pdf

 

Arabic language has many differences from English language in terms of morphology and semantic. These areas of difference make it somehow difficult when it comes to web search in Arabic. Unlike Arabic language, other languages including Latin have substantiated amount of research in the use of semantic technologies in processing text and information retrieval. Despite the complexity in Arabic script, some significantly contribution has been made in the area of retrieval algorithms and semantic web techniques which can be measured in terms of the accuracy. This paper therefore, examines the state of the art in the use of semantic web search techniques for the retrieval of Arabic text.

 

Published In : IJCSN Journal Volume 2, Issue 5

Date of Publication : 01 October 2013

Pages : 05 - 07

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Publication Link : ijcsn.org/IJCSN-2013/2-5/IJCSN-2013-2-5-14.pdf

 

 

 

Ruqaia Jwad : Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bander Baru Nilai, Malaysia.

Dr.Norita Md Norwawi : Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bander Baru Nilai, Malaysia.

Bala Musa : Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bander Baru Nilai, Malaysia.

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Semantic Web

Arabic Ontology

Natural Language Processing

Arabic Search

 

 

 

 

 

 

Enormous effort has been put in place to facilitate efficient and effective use of techniques for Arabic language text retrieval. These efforts are still not standardized and still huge gap is yet to be filled in terms of Arabic retrieval. Therefore, there is need for an efficient and effective approach that will incorporate the best techniques and eliminate the current impediments associated with Arabic text retrieval.

 

 

 

 

 

 

 

 

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