Towards Innovative System for Hadith Isnad Processing

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-18 Number-6
Year of Publication : 2014
Authors : Moath M. Najeeb
DOI :  10.14445/22312803/IJCTT-V18P154

MLA

Moath M. Najeeb "Towards Innovative System for Hadith Isnad Processing". International Journal of Computer Trends and Technology (IJCTT) V18(6):257-259, Dec 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Science of Hadith gets a great attention in the last few years, in this paper we investigate the opportunity to innovate an automatic Hadith Isnad processing system that can help in automatic judgment of Hadith and distinguish between the accepted (Sahih) and rejected (Da’ief) Hadith.

References
[1] A. Abdelkader, D. Souilem Boumiza and R. Braham, “A categorization algorithm for the Arabic language,” International Conference on Communication, Computer and Power (ICCCP`09), Muscat, February 2009.
[2] NLP4Arabic. https://sites.google.com/site/nlp4arabic/ 2014.
[3] A. Farghaly, K. Shaalan, “Arabic natural language processing: challenges and solutions”. ACM Trans. Asian Lang. Inform. Process. 8, 4, Article 14, 22 pages, December 2009.
[4] K. Shaalan, “Rule-based approach in Arabic natural language processing,” International Journal on Information and Communication Technologies, Vol. 3, No. 3, June 2010.
[5] A. Azmi, Nawaf Badia, “iTree – Automating the Construction of the narration Tree of Hadith”, IEEE, 2010.
[6] Shamela Library, http://shamela.ws , (last visited 2014, SEP 20).
[7] F. Harrag, A. Cherif, E. Qawasmeh, "Vector Space Model for Arabic Information Retrieval Application to Hadith Indexing", IEEE, 2008.
[8] K. Aldhlan, A. Zeki, A. Zeki, “Data mining and Islamic Knowledge Extraction: Hadith as A Knowledge Resource”, Proceeding 3rd International Conference on ICT4M, 2010.
[9] H. Alrazo, “Al-`Utur al-ma`lumatiah le tadawel al-ma`refah aleslamiah fi zaman al-a`wlamh: Information frame works to deal with Islamic Knowledge in globalization era”. Journal of Islamic knowledge 4, pp. 33-34, 2003.
[10] H. Alrazo, “??????? ??????? ?????????? ??? ????? ??????? ?????????” “Data mining application on the Islamic knowledge resource” , from Alukah : http://www.alukah.net/Culture/0/3123/ (last visited 2014, SEP 27)
[11] M. Ghazizadeh, M. Zahedi, M. Kahani, and B. Bidgoli, “Fuzzy Expert system in determining Hadith validity”, advances in computer and information sciences and engineering, PP.354-359, 2008.
[12] M. Hyder and S. Ghazanfer, “Towards a database Oriented Hadith Research Using Relational, Algorithmic and Data-warehousing Techniques”, The Islamic Culture, Quarterly Journal of Shaikh Zayed Islamic Center for Islamic and Arabic Studies, Vol. 19, University of Karachi, 2008.
[13] F. Harrag, E. El-Qawasmeh and A. Al-Salman, “Extracting Named Entities from Prophetic Narration Texts (Hadith)”, ICSECS 2011, Part II, CCIS 180, pp. 289–297, 2011.
[14] K. Bilal and S. Mohsin, “Muhadith: A Cloud based Distributed Expert System for Classification of Ahadith”, IEEE 10th International Conference on Frontiers of Information Technology, pp. 73-78, 2012.
[15] M. Najeeb, A. El Sheikh and M. Nababteh, “A New Rule Ranking Model for Associative Classification Using A Hybrid Artificial Intelligence Technique”, The 2011 IEEE International Conference on Information and Education Technology, IEEEXplore Press,China, pp: 231-235.DOI:10.1109/ICCSN.2011.6013816. 2011.
[16] B. Liu, W. Hsu and Y. Ma, “Integrating Classification and Association Rule mining”, Proceedings KDD-98, New York, AAAI. pp: 80-86, 1998.
[17] R. Agrawal and R. Srikant, “Fast algorithms for mining association rule”, Proceedings of the 20th International Conference on Very Large Data Bases, Santiago, Chile, pp: 487-499, 1994.
[18] E. Bahri and S. Lallich, “Improving prediction by weighting class association rules”, International Conference on Machine Learning and Applications, 13-15, 2009.
[19] T. Do, S. Hui and A. Fong, “Multiple-step Rule Discovery for Associative Classification”, IEEE International Conference on Artificial Intelligence and Computational Intelligence, Shanghai, pp: 365-369, 2009.
[20] F. Thabtah, “A Review of Associative Classification Mining”, The Knowledge Engineering Review, Vol. 22:1, Cambridge University Press, pp: 37-65, 2007.

Keywords
Natural language processing, Hadith science, Arabic language processing, Hadith judgment.