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
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.
 M.Abu-Hamdiyyah, and I. ebrary. The Qur'an: an
introduction, 2000,Taylor & Francis.
 Q. A Al-Radaideh,. and K. H. Masri. Improving mobile
multi-tap text entry for Arabic language. 2011 Computer
Standards & Interfaces 33(1): 108-113. Al-
Shammari, E. and J. Lin 2008. A novel Arabic
lemmatization algorithm, ACM.
 S. R.El-Beltagy, and A. Rafea. KP-Miner: A keyphrase
extraction system for English and Arabic documents.
2009. Information Systems 34(1): 132-144.
 M.El Kourdi, , A. Bensaid, et al. Automatic Arabic
document categorization based on the Na´ve Bayes
 A.Goweder, , M. Poesio, et al. Broken plural detection for
arabic information retrieval. 2004. ACM.
 O.Isbaitan, and H. Al-Wahidi Arabic model for semantic
web 3.0. Proceedings of the 2011 International
Conference on Intelligent Semantic Web-Services and
Applications. 2011.Amman, Jordan, ACM: 1-6.
 T.Kanungo, , G. A. Marton, et al. OmniPage vs. Sakhr:
Paired model evaluation of two Arabic OCR products,
1999.SPIE INTERNATIONAL SOCIETY FOR
 S.Khoja, APT: Arabic part-of-speech tagger. 2001.
 M. R.Koivunen. W3C semantic web activity. Semantic
Web .2001.KickOff in Finland: 27-41.
 Nana Yaw Asabere, Nana Kwame Gyamfi, AIDSS-HR:
An Automated Intelligent Decision Support System for
Enhancing the Performance of Employees,
 A.Selamat, and C. C. Ng. Arabic script web page
language identifications using decision tree neural
networks. 2011. Pattern Recognition 44(1): 133-144.
 K.Shaalan, and H. Raza . Person name entity recognition
for Arabic, Association for Computational Linguistics.
 S Zaidi,., M. Laskri, et al. A cross-language information
retrieval based on an Arabic ontology in the legal domain.