Integrated Modalities Search Framework for Digital English Language Text Holy Qur’an and Tafsir
Abstract
English text is commonly used online for English language and other languages as well. This is one of its attributes that makes its usage gains more popularity than others. English text version of Holy Qur’an and Tafsir can be readable by those who cannot read the Arabic version in the transliterated form. However, a non-Arab native recitation might be different from the Arab native. Nevertheless, both Arab and non-Arab require the knowledge of Tafsir for understanding Qurán word-by-word and its applications. Due to the availability of transliterated English text version of Qurán, it is possible to further utilize the Text processing aspect of generic online search engine architecture to further deliver the knowledge of Qurán. This research uses qualitative explorative approaches to present a framework through which “meaning”, “teaching”, “civilization”, “scientific miracles” and “Aqidah and Ibadah” are integrated for any English transliterated term of Qurán into English explanation source through the knowledge of Tafsir. As a result, online user’s query will extract desirable sequences of refined integration of Quran explanation inculcating knowledge composition of Holy Qur’an and Tafsir. Three short surahs of Holy Qur’an and Tafsir are used for the evaluation of the proposed framework. Text processing procedure is applied and a corpus of the English transliterated terms explanation by Tafsir of Holy Qur’an and Tafsir are generated. This framework is suitable for the design of search engine suitable for spreading the knowledge of Holy Qur’an and Tafsir.
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Adhoni, Z. A., AhadSiddiqi, A., & El Mortaji, L. (2014). Transliteration of knowledge retrieval in Urdu from Holy Quran using state of the art information technologies. In Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on (pp. 359-363). IEEE.
Adhoni, Z. A., Al Hamad, H., Siddiqi, A. A., & El Mortaji, L. (2013). Towards a Comprehensive Online Portal and Mobile Friendly Qur'an Application. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (NOORIC).
Bakar, Z. A., & Rahman, N. A. (2003). Evaluating the effectiveness of thesaurus and stemming methods in retrieving Malay translated Al-Quran documents (pp. 653-662). Springer Berlin Heidelberg.
Beirade, F. (2014). Search engine for Holy Quran. In ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium (pp. 1-6). IEEE.
Elhadj, Y. O. M. (2010). E-Halagat: An E-Learning System for Teaching the Holy Quran. Turkish Online Journal of Educational Technology-TOJET, 9(1), 54-61
Feldman, R. & Dagan, I. (1995) Knowledge discovery in textual databases (KDT). In proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August 20-21, AAAI Press, 112-117.
Freud, S., & Strachey, J. (2005). Civilization and its discontents. WW Norton & Company.
Hammo, B., Sleit, A., & El-Haj, M. (2007). Effectiveness of query expansion in searching the Holy Quran.The Second International Conference on Arabic Language Processing CITALA'07. , Rabat, Morocco, pp. 1-10.
Hossein, N.S.(2013) Islamic Spirituality: Foundations. Routledge.
Khan, H. U., Saqlain, S. M., Shoaib, M., & Sher, M. (2013). Ontology based semantic search in Holy Quran. International Journal of Future Computer and Communication, 2(6), 570-575.
McLarney, E. A. (2015). Soft Force: Women in Egypt's Islamic Awakening: Women in Egypt's Islamic Awakening. Princeton University Press.
Nguyen, Q. D., Fernandez, N., Karsenti, T., & Charlin, B. (2014). What is reflection? A conceptual analysis of major definitions and a proposal of a five‐component model. Medical education, 48(12), 1176-1189.
Noordin, M. F., & Othman, R. (2006). An information retrieval system for Quranic texts: a proposed system design. In Information and Communication Technologies, 2006. ICTTA'06. 2nd (Vol. 1, pp. 1704-1709).
Pustejovsky, J., & Bouillon, P. (1995). Aspectual coercion and logical polysemy. Journal of semantics, 12(2), 133-162
Sardar, Z. (2011). Reading the Qur'an: The Contemporary Relevance of the Sacred Text of Islam. Oxford University Press
Sharaf, A. B. M., & Atwell, E. (2012). QurSim: A corpus for evaluation of relatedness in short texts. In LREC (pp. 2295-2302)
Shoaib, M., Yasin, M. N., Hikmat, U. K., Saeed, M. I., & Khiyal, M. S. H. (2009). Relational WordNet model for semantic search in Holy Quran. In Emerging Technologies, 2009. ICET 2009. International Conference on (pp. 29-34).
Sultan, A. M., Azman, A., Kadir, R. A., & Abdullah, M. T. (2011, June). Evaluation of Quranic text retrieval system based on manually indexed topics. In Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on (pp. 156-161).
Yauri, A. R., Kadir, R. A., Azman, A., & Murad, M. A. A. (2013, March). Ontology semantic approach to extraction of knowledge from Holy Quran. In Computer Science and Information Technology (CSIT), 2013 5th International Conference on (pp. 19-23).
Zeki, A., Oyefolahan, I. O., Malek, A., Azrin, N., Mahmud, M., Mahmood, N. & Abubakar, A. (2014). Investigating how the sources of online audio Qur'an empower listeners. In the 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 2014 (pp. 1-6).
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