The term hadith refers tothe sources of basic
law be referred and followed by Muslims after Holy
Qur'an, however, the complexity of Arabic language
including multi meanings and synonyms poses a lot of
problem in term of extracting the actual context of the
contents of the hadith fundamentally Allayat( Arabic
verses) in the Qur’an and Hadiths which causes confusion
and a lack of in-text retrieval .consequently, it becomes
crucial to build the so-called semantic meaning of the
content of Hadiths, which gives special characteristic of
each hadith. In this paper we have presented a tool that
provides semantic annotation to hadith document, which
relates to the concept of prayer and all the hadith based on
the concept of prayer content along with automatic
information extraction (IE), suitable for the requirement of
the Arabic language.
Ruqaia J. Kadhim : Science and Technology/Universiti Sains Islam/,Negeri Sembilan,Malasiay,0060
Dr. Norita M. Norwawi : Science and Technology/Universiti Sains Islam/,Negeri Sembilan,Malasiay,0060
Dr. Adel M. Abdulaaziz : Science and Technology/Universiti Sains Islam/,Negeri Sembilan,Malasiay,0060
Ashraf Al_Omoush : Science and Technology/Universiti Sains Islam/,Negeri Sembilan,Malasiay,0060
Arabic Ontology
Hadith
Arabic Text Analysis
Semantic Annotation
This paper had presented the development of a semantic
annotation tool with integrated information extraction for
the domain of hadith. The novelty of this work is that the
proposed tool had semantically produced annotated
documents using ontology for salat.
[1] Rahman, N.A .Bakar, Z.A. , Mohd, T.T.S.(2010).
Query Expansion using Thesaurus in Improving Malay
Hadith Retrieval System. Information Technology
(ITSim) Information Technology Symposium
(ITSim). (Volume:3 ). ISSN :2155-897 Page(s): 1404 –
1409.
[2] Saad,S .Salim, N. Zainal , H.(2010).Towards Context-
Sensitive Domain of Islamic Knowledge Ontology
Extraction. International Journal for Infonomics (IJI),
Volume 3, Issue 1, March
[3] Sh , Lahore. M.A . 1972Sahih Muslim, A. H. Siddiqi
(trans.), 5 vols,
[4] Aqil, M,A. bin Badia,N.(2010). e-NARRATOR – AN
APPLICATION FOR CREATING AN
[5] ONTOLOGY OF HADITHS NARRATION
TREESEMANTICALLY AND GRAPHICALLY. The Arabian Journal for Science and Engineering, Volume
35, Number 2C.Page(S): 50 – 68.
?? " R66+ -6 "
R/ ?!\$' 6 R/ ? ?5 ??? RC l 6 .':P%655m
1424 ? ???? R5/ ?
" &' 66+ "- 7
\ ?? /''5C ??????? !A/$O6 ' 6K
?? 1404 ?
[8] D,Brickley and R,V,Guha.(2010).RDF Vocabulary
Description Language 1.0: RDF Schema.W3C
Recommendation,2004. URL:
http://www.w3.org/TR/rdf-schema/. Last visited: 27
Jun, 2010.
[9] 9- M. Erdmann, A. Maedche, H.-P.Schnurr, and S.
Staab, “From Manual to Semi-Automatic Semantic
Annotation:About Ontology-Based Text Annotation
Tools”, Elec. Trans. on AI J., Linköping Univ.,
Sweden, 6(2)(2001). URL:
http://www.aifb.kit.edu/portal/index.php?title=Spezial:
Hochladen&wpDestFile=2001_474_Erdmann_From
Manualto_1.pdf.Last visited: 27 Jun, 2010.
[10] Li, D. and Huan, L. 2008. The Ontology Relation
Extraction for Semantic Web Annotation. C cgrid.
2008 Eighth IEEE International Symposium on Cluster
Computing and the Grid (CCGRID). 534-541.
[11] Taniar, D., and J. Rahayu. 2006. Web Semantic
Ontology.Hershey, USA.
[12] Bin Saleh, Al-Khalifa, H, S. L,M.2009.AraTation: An
Arabic Semantic Annotation Tool. ACM iiWAS '09
Proceedings of the 11th International Conference on
Information Integration and Web-based Applications &
Services. Page(S): 447 –
451.doi>10.1145/1806338.1806421
[ ??" [ 13 .`5 "
Kj`\35 6 $$6G ?A ?H$ ? % ? ?AH 6 .'55m
? ? ?=/ ???? 'O5 ?? A ?? A ? ?? \' /? 1404
.? 1984
[14] M. M. Al-Azami, “A Note on Work in Progress on
Computerization of Hadith”, J. of Islamic Studies,
Oxford, 2(1)(1991), pp. 86–91.
[15] Song, J,F,Weidong ,W, Z, Li, X, G .and Xu Z,N.(2005)
Ontology-Based Information Retrieval Model for the
Semantic Web. In EEE ’05: Proceedings of the 2005
IEEE International Conference on e-Technology, e-
Commerce and e-Service, pages 152–155, 2005.
[16] Rocha, C. Schwabe, D. Marcus .Aragão, P,D. (2004).A
hybrid approach for searching in the semantic web.
InWWW’04: Proceedings of the 13th international
conference on World Wide Web, pages 374–383,
[17] Kiryakov, A. Popov, B.Terziev, I, Manov, D, and
Ognyan off, D.(2004).Semantic annotation, indexing
,and retrieval .J. Web Sem., 2(1):49–79.
[18] Regina M. M. Braga, W, C, M, L., and Mattoso, M.
(2000).Using Ontologies for Domain Information
Retrieval. In DEXA Workshop, pages 836–840,.
[19] Ozcan, R and Aslandogan ,Y, A.(2005) Concept-Based
Information Access. In ITCC ’05: Proceedings of the
International Conference on Information Technology:
Coding and Computing, pages 794–799.
[20] ValletD. Fernández,M, and Castells, P. (2005).An
Ontology-Based Information Retrieval Model. In
ESWC, pages 455–470,.
[21] Ruotsalo ,T and Hyvönen, E.(2007).A Method for
Determining Ontology-Based Semantic Relevance. In
the 18thDatabase and Expert Systems Applications
Conference, DEXA, pages 680–688.
[22] S. Zaidi, M.-T. Laskri, and A,bdelali.(2010). Arabic
Collocations Extraction using Gate. International
Conference on Machine and Web Intelligence
(ICMWI), pp. 473 475.
[23] H. Cunningham, et al. .(2011).Text processing with
GATE (Version 6).University of Sheffield Department
of Computer Science. ISBN 0956599311.
[24] S,Abdelrahman, M. Elarnaoty, and
M.Magdy.2010.Integrated MACHINE learning
Techniques for Arabic Named Entity Recognition.
International Journal of Computer Science. vol. 7, no.
4, Page(s). 27- 36,
[25] Albukhitan,S. Helmy,T.(2013). Automatic Ontology-
Based Annotation of Food, Nutrition and Health
Arabic Web Content. The 4th International Conference
on Ambient Systems, Networks and Technologies
Volume. Pages 461–469.
[26] Jurafsky, D and Martin, H, J.(2009).Speech and
Language Processing: An Introduction to Natural
Language Processing. Computational Linguistics and
Speech Recognition. Prentice Hall.(2nd ED).
[27] Nizar, Y, H.2010.Introduction to Arabic Natural
Language Processing Synthesis Lectures on Human
Language Technologies. Morgan and Claypool
Publishers
[28] S. Bird, E. Klein, and E. Loper.(2009).Natural
Language Processing with Python. O’Reilly Media.
[29] Chanod , J,P and Tapanainen, P. 1996.A nondeterministic
tokeniser for finite-state parsing. ECAI
96. 12th European Conference on Artificial
Intelligence,.
[30] Habash, N. and Rambow ,O. (2005).Arabic
tokenization, part-of-speech tagging and morphological
disambiguation in one fell swoop. Proceedings of the
43rd Annual Meeting of the ACL. Page(S) 573–580.