A Systematic Review on Semantic-based Ontology for Quranic Knowledge

  • Authors

    • Asma Salsabila Muhmad Rusli
    • Farida Ridzuan
    • Zulkifly Mohd Zaki
    • M Norazizi Sham Mohd Sayuti
    • Rosalina Abdul Salam
    2018-10-07
    https://doi.org/10.14419/ijet.v7i4.15.21376
  • Ontology, Quran, Semantic, Systematic Review.
  • The Holy Quran ontology models are gaining popularity among researchers due to people’s demands in understanding this divine book. Due to this, there are many studies and research have been conducted in this area to facilitate people’s understanding of the Quran. The Quran knowledge is represented conforming to an ontology within a system framework. This also includes various concepts that are interrelated with the others. From the literature, however, the existing Quranic ontology models do not cover all concepts in the Quran, which limit them to domains such as place nouns, themes, pronouns, antonyms and Islamic knowledge in the Quran. Thus, this research aims to identify relevant research works from various electronic data sources using systematic literature review (SLR) method to provide a comprehensive review of this area. This paper presents a systematic review of the literature related to the existing ontology models, where it leads to disseminating the correct knowledge of the Quran using semantic technologies.

     

     

  • References

    1. [1] Singh, A., & Anand, P. (2013), State of art in ontology development tools. International Journal, 2(7), 96-101.

      [2] Atwell, E., Brierley, C., Dukes, K., Sawalha, M., & Sharaf, A. B. “An artificial intelligence approach to Arabic and Islamic content on the internetâ€, Proceedings of the 3rd National Information Technology Symposium, (2011), pp. 1-8.

      [3] Ishkewy, H., Harb, H., & Farahat, H., An Arabic lexical ontology, (2014), International Journal of Web and Semantic Technology, 5(4), 71-82.

      [4] Al-Khalifa, H. S., Al-Yahya, M. M., Bahanshal, A., & Al-Odah, I. “SemQ: A proposed framework for representing semantic opposition in the Holy Quran using Semantic Web technologiesâ€, Proceedings of the International Conference Current Trends in Information Technology, (2009), pp. 1-4.

      [5] Mohamed, R., Ragab, M., Abdelnasser, H., El-Makky, N. M., & Torki, M., “Al-Bayan: A knowledge-based system for Arabic answer selectionâ€, Proceedings of the 9th International Workshop on Semantic Evaluation, (2015), pp. 226-230.

      [6] Alqahtani, M., & Atwell, E. “Arabic Quranic search tool based on ontologyâ€, Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems, (2016), pp. 478-485.

      [7] Ghanem, M., Abdelaaziz M., & Mohammed M., “Creation and populating of an Islamic knowledge ontology using Extraction Pattern Bootstrappingâ€, Proceedings of the IEEE 11th International 3rd National Day on Engineering, Networks and Telecommunications, (2015), pp. 36.

      [8] Sheker, M., Saad, S., Abood, R., & Shakir, M. (2016), Domain-specific ontology-based approach for Arabic question answering. Journal of Theoretical and Applied Information Technology, 83(1), 43-51.

      [9] Yauri, A. R., Kadir, R. A., Azman, A., & Murad, M. A. A. (2013). Quranic verse extraction base on concepts using OWL-DL ontology. Research Journal of Applied Sciences, Engineering and Technology, 6(23), 4492-4498.

      [10] Shoaib, M., Yasin, M. N., Hikmat, U. K., Saeed, M. I., & Khiyal, M. S. H. Relational WordNet model for semantic search in Holy Quran. Proceedings of the IEEE International Conference on Emerging Technologies, (2009), pp. 29-34.

      [11] Yunus, M. A., Zainuddin, R., & Abdullah, N., Semantic query for Quran documents results. Proceedings of the IEEE Conference on Open Systems, (2010), pp. 1-5.

      [12] Alqahtani, M. M. A., & Atwell, E. (2015). A Review of Semantic Search Methods to Retrieve Information from the Qur’an Corpus.

      [13] Kitchenham, B., Pretorius, R., Budgen, D., Brereton, O. P., Turner, M., Niazi, M., & Linkman, S. (2010), Systematic literature reviews in software engineering–A tertiary study. Information and Software Technology, 52(8), 792-805.

      [14] Kitchenham, B.,“Procedures for performing systematic reviewsâ€, Keele University Technical Report TR/SE-0401 and NICTA Technical Report 0400011T.1. http://csnotes.upm.edu.my/kelasmaya/pgkm20910.nsf/0/715071a8011d4c2f482577a700386d3a/$FILE/10.1.1.122.3308[1].pdf.

      [15] Breivold, H. P., Crnkovic, I., & Larsson, M. (2012), A systematic review of software architecture evolution research. Information and Software Technology, 54(1), 16-40.

      [16] Azni, A. H., Ahmad, R., Noh, Z. A. M., Hazwani, F., & Hayaati, N., “Systematic Review for Network Survivability Analysis in MANETSâ€, Procedia-Social and Behavioral Sciences, (2015), 195, 1872-1881.

      [17] Sharaf, A. B. M., & Atwell, E., “QurAna: Corpus of the Quran annotated with pronominal anaphoraâ€, Proceedings of the 8th International Conference on Language Resources and Evaluation, (2012), pp. 130-137.

      [18] Ta'a, A., Zainal Abidin, S., Abdullah, M. S., Ali, M., Bashah, A., & Ahmad, M. (2012), Al-Quran themes classification using ontology. Proceedings of the 4th International Conference on Computing and Informatics, pp. 383-389.

      [19] Iqbal, R., Mustapha, A., & Mohd. Yusoff, Z. (2013), An experience of developing Quran Ontology with contextual information support. Multicultural Education and Technology Journal, 7(4), 333-343.

      [20] Zainal, H., Salim, N., Noah, S. S., & Mohd, S. A., “Rules and natural language pattern in extracting Quranic knowledgeâ€, Proceedings of the IEEE Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences, (2013), pp. 381-386.

      [21] Harrag, F., Abdullah, Al-N., Abdullah, Al-M., Rayan, Al-S., & Abdulmalik, Al-S., “Using Association Rules for Ontology Extraction from Al-Quran Corpusâ€, Proceedings of the 5th International Conference on Arabic Language Process, (2014), pp. 1-8.

      [22] Ku-Mahamud, K. R., Mohamed Din, A., Che Pa, N., Ahmad, F., Wan Ishak, W. H., Ahmad, F. K., & Din, R. (2014). Object-based knowledge representation of female related issues from the Holy Quran. Journal of ICT, 13, 145–161.

      [23] Yauri, A. R., Automated semantic query formulation for Quranic verse translation retrieval, PhD thesis, Universiti Putra Malaysia, (2014).

      [24] Shmeisania, H., Samir, T., Ammar, Al-N., & Moath, N., “Semantically answering questions from the Holy Quranâ€, Proceedings of the 2nd International Conference on Islamic Applications in Computer Science and Technology, (2014), pp. 1-8.

      [25] Ouda, K., QuranAnalysis: A semantic search and intelligence system for the Quran, Master thesis, University of Leeds, (2015).

      [26] Sherif, M. A., & Ngonga Ngomo, A. C. (2015), Semantic Quran. Semantic Web, 6(4), 339-345.

      [27] Abed, Q. A., Ontology-based approach for retrieving knowledge in Al-Quran, PhD thesis, Universiti Utara Malaysia, (2015).

      [28] Seddik, K. M., Farghaly, A., & Fahmy, A. A. (2015), Arabic anaphora resolution: Corpus of the Holy Qurâ [euro](TM) an annotated with anaphoric information. International Journal of Computer Applications, 124(15), 35-43.

      [29] Alromima, W., Ibrahim, F. M., Rania E., & Mostafa, A., “Ontology-based model for Arabic lexicons: An application of the place nouns in the Holy Quranâ€, Proceedings of the IEEE 11th International Computer Engineering Conference, (2015), pp. 137-143.

      [30] Ahmed, R., & Atwell, E. S. (2016), Developing an ontology of concepts in the Qur'an. International Journal on Islamic Applications in Computer Science and Technology, 4(4), 1-8.

      [31] Sadi, A. S., Anam, T., Abdirazak, M., Adnan, A. H., Khan, S. Z., Rahman, M. M., & Samara, G., “Applying ontological modeling on Quranic" nature" domainâ€, Proceedings of the IEEE 7th International Conference on Information and Communication Systems, (2016), pp. 151-155.

      [32] Tashtoush, Y. M., Al-Soud, M. R., AbuJazoh, R. M., & Al-Frehat, M., “The noble Quran Arabic ontology: Domain ontological model and evaluation of human and social relationsâ€, Proceedings of the IEEE 8th International Conference on Information and Communication Systems, (2017), pp. 40-45.

      [33] Ali, H. (2013), Ontological knowledge management system of Islamic concepts. Journal of Independent Studies and Research, 11(1), 35-44.

      [34] Ishkewy, H., & Harb, H. (2015), Iswse: Islamic semantic web search engine. International Journal of Computer Applications, 112(5), 37-43.

      [35] Brank, J., Grobelnik, M., & Mladenić, D. (2005). A survey of ontology evaluation techniques. http://ailab.ijs.si/dunja/sikdd2005/papers/BrankEvaluationSiKDD2005.pdf.

      [36] Abdelhamid, Y., Mostafa, M., & Tarek, M. El-S., “Using ontology for associating web multimedia resources with the Holy Quranâ€, Proceedings of the IEEE Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences, (2013), pp. 246-251.

      [37] Alrehaili, S. M., & Eric, A., “Computational ontologies for semantic tagging of the Quran: A survey of past approachesâ€, Proceedings of the International Conference on Language Resources and Evaluation, pp. 1-5.

      [38] Sebastiani, F. (2002), Machine learning in automated text categorization. ACM Computing Surveys, 34(1), 1-47.

      [39] Safeena, R., & Abdullah, K., “Quranic computation: A review of research and applicationâ€, Proceedings of the IEEE Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences, (2013), pp. 203-208.

      [40] Yauri, A. R., Rabiah, A. K., Azreen A., & Masrah, A. A. M., “Quranic-based concepts: Verse relations extraction using Manchester OWL syntaxâ€, Proceedings of the IEEE International Conference on Information Retrieval and Knowledge Management, (2012), pp. 317-321.

  • Downloads

  • How to Cite

    Salsabila Muhmad Rusli, A., Ridzuan, F., Mohd Zaki, Z., Norazizi Sham Mohd Sayuti, M., & Abdul Salam, R. (2018). A Systematic Review on Semantic-based Ontology for Quranic Knowledge. International Journal of Engineering & Technology, 7(4.15), 80-86. https://doi.org/10.14419/ijet.v7i4.15.21376