Ontology-based approach for retrieving knowledge in Al-Quran

Ontology-based approach for retrieving knowledge in Al-Quran

Information retrieval relies on obtaining relevant data from a set of knowledge resources, such as Al-Quran. Searching can be based on metadata, indexing, or other content-based. Al-Quran is the most widely read book in the world and automating knowledge retrieval from this of religious literature i...

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Main Author: Abed, Qusay Abdullah
Format: Thesis
Language:eng
eng
Published: 2015
Subjects:
BP Islam
Bahaism
Theosophy, etc
QA71-90 Instruments and machines
Online Access:https://etd.uum.edu.my/4516/1/s812889.pdf
https://etd.uum.edu.my/4516/2/s812889_abstract.pdf
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id my-uum-etd.4516
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Ta'a, Azman
Abdullah, Mohd. Syazwan
topic BP Islam
Bahaism
Theosophy, etc
QA71-90 Instruments and machines
spellingShingle BP Islam
Bahaism
Theosophy, etc
QA71-90 Instruments and machines
Abed, Qusay Abdullah
Ontology-based approach for retrieving knowledge in Al-Quran
description Information retrieval relies on obtaining relevant data from a set of knowledge resources, such as Al-Quran. Searching can be based on metadata, indexing, or other content-based. Al-Quran is the most widely read book in the world and automating knowledge retrieval from this of religious literature is very challenging. This has led to the development of a number of search applications, which can retrieve knowledge based on keywords. Retrieving the knowledge of Al-Quran ontology includes several fundamental problems, one of which is the lack of accuracy. In most cases, the searching cannot retrieve the relevant concept of knowledge and verses. Current approaches use conventional methods such as taxonomy, hierarchy, or tree structure, which only provide the definition of the concept of themes without linking to the correct knowledge concept of Al-Quran. The main aim of this study is to design a method that uses the ontology approach to search and retrieve relevant verses in Al-Quran. The new approach consists of two stages. The first stage: involves the Al-Quran ontology development based on thematic classification which was implemented using Protégé-OWL. The second stage: involves the development of a search method by using the Jena framework which is based on Java programming languages. The search method allows ontology processing, and performed the searching using the given keywords and retrieve the knowledge pertaining to the keyword. The search approach was evaluated using the Recall and Precision measurements, which shows a high accuracy in retrieving the knowledge of Al-Quran. Furthermore, the ontology classification was evaluated by two experts in Islamic Studies field. This study contributes to the ease of learning and understanding Al-Quran by people of all ages.
format Thesis
qualification_name masters
qualification_level Master's degree
author Abed, Qusay Abdullah
author_facet Abed, Qusay Abdullah
author_sort Abed, Qusay Abdullah
title Ontology-based approach for retrieving knowledge in Al-Quran
title_short Ontology-based approach for retrieving knowledge in Al-Quran
title_full Ontology-based approach for retrieving knowledge in Al-Quran
title_fullStr Ontology-based approach for retrieving knowledge in Al-Quran
title_full_unstemmed Ontology-based approach for retrieving knowledge in Al-Quran
title_sort ontology-based approach for retrieving knowledge in al-quran
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2015
url https://etd.uum.edu.my/4516/1/s812889.pdf
https://etd.uum.edu.my/4516/2/s812889_abstract.pdf
_version_ 1747827750550372352
spelling my-uum-etd.45162021-03-18T00:21:04Z Ontology-based approach for retrieving knowledge in Al-Quran 2015 Abed, Qusay Abdullah Ta'a, Azman Abdullah, Mohd. Syazwan Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences BP Islam. Bahaism. Theosophy, etc QA71-90 Instruments and machines Information retrieval relies on obtaining relevant data from a set of knowledge resources, such as Al-Quran. Searching can be based on metadata, indexing, or other content-based. Al-Quran is the most widely read book in the world and automating knowledge retrieval from this of religious literature is very challenging. This has led to the development of a number of search applications, which can retrieve knowledge based on keywords. Retrieving the knowledge of Al-Quran ontology includes several fundamental problems, one of which is the lack of accuracy. In most cases, the searching cannot retrieve the relevant concept of knowledge and verses. Current approaches use conventional methods such as taxonomy, hierarchy, or tree structure, which only provide the definition of the concept of themes without linking to the correct knowledge concept of Al-Quran. The main aim of this study is to design a method that uses the ontology approach to search and retrieve relevant verses in Al-Quran. The new approach consists of two stages. The first stage: involves the Al-Quran ontology development based on thematic classification which was implemented using Protégé-OWL. The second stage: involves the development of a search method by using the Jena framework which is based on Java programming languages. The search method allows ontology processing, and performed the searching using the given keywords and retrieve the knowledge pertaining to the keyword. The search approach was evaluated using the Recall and Precision measurements, which shows a high accuracy in retrieving the knowledge of Al-Quran. Furthermore, the ontology classification was evaluated by two experts in Islamic Studies field. This study contributes to the ease of learning and understanding Al-Quran by people of all ages. 2015 Thesis https://etd.uum.edu.my/4516/ https://etd.uum.edu.my/4516/1/s812889.pdf text eng public https://etd.uum.edu.my/4516/2/s812889_abstract.pdf text eng public masters masters Universiti Utara Malaysia Ahmad, O., Hyder, I., Iqbal, R., Murad, M. A. A., Mustapha, A., Sharef, N. M., & Mansoor, M. (2013). A Survey of Searching and Information Extraction on a Classical Text Using Ontology- Based Semantics Modeling: A Case of Al-Quran. Life Science Journal, 10(4), 1370-1377. Al-Saif, A., & Markert, K. (2010). The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic. Paper Presented at the Proceedings of Language Resources and Evaluation Conference, Valetta, Malta. Aleksovski, Z. (2008). Using Background Knowledge in Ontology Matching. Vrije Universiteit, The Dutch Research School for Information and Knowledge Systems. (No. 2008-24) Ameen, A., Khan, K. U. R., & Rani, B. P. (2012). Creation of Ontology in Education Domain. Life Science Journal, pp. 237-238. Ardakan, M. A., & Mohajeri, K. (2009). Applying Design Research Method to IT Performance Management: Forming a New Solution. Journal of Applied Sciences, 9(7), 1227-1237. Atwell, E., Brierley, C., Dukes, K., Sawalha, M., & Sharaf, A.-B. (2011). An Artificial Intelligence Approach to Arabic and Islamic Content on the Internet. Paper presented at the Proceedings of NITS 3rd National Information Technology Symposium (pp.1-8). Atwell, E., Habash, N., Louw, B., Abu Shawar, B., McEnery, T., Zaghouani, W., & El-Haj, M. (2010). Understanding the Al-Quran: A new Grand Challenge for Computer Science and Artificial Intelligence. ACM-BCS Visions of Computer Science 2010, pp.1-13. Baqai, S., Basharat, A., Khalid, H., Hassan, A., & Zafar, S. (2009). Leveraging Semantic Web Technologies for Standardized Knowledge Modeling and Retrieval from the Holy Qur'an and Religious Texts. Paper Presented at the Proceedings of the 7th International Conference on Frontiers of Information Technology (pp. 42). Beck, H., & Pinto, H. S. (2002). Overview of Approach, Methodologies, Standards, and Tools for Ontologies. Draft Paper, The Agricultural Ontology Service, UN FAO, pp.3-8. Beseiso, M., Ahmad, A. R., & Ismail, R. (2010). A Survey of Arabic Language Support in Semantic Web. International Journal of Computer Applications, 2, pp.1-6. Bilal, M., & Khan, S. (2008). Ontology-Driven Relevance Reasoning Architecture for Data Integration Techniques. Paper Presented at the Intelligent Systems, 2008. IS'08. 4th International IEEE Conference (pp. 8-22). Bryman, A., & Bell, E. (2011). Business Research Methods. New York: Oxford University Press. Churchill, G. A., Brown, T. J., & Suter, T. A. (2010). Basic Marketing Research (7th ed.). London: ISBN. Colton, D., & Covert, R. W. (2007). Designing and Constructing Instruments for Social Research and Evaluation (1st ed.). United States of America: John Wiley & Sons, Inc. Decker, S., Erdmann, M., Fensel, D., & Studer, R. (1999). Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information. (pp. 351-369): Springer. Du, Z. Q., Hu, J., Yi, H. X., & Hu, J. Z. (2007). The Research of the Semantic Search Engine Based on the Ontology. Paper presented at the Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on (pp. 5403-5406). IEEE. Fang, W. D., Zhang, L., Wang, Y. X., & Dong, S. B. (2005). Toward a Semantic Search Engine Based on Ontologies. Paper Presented at the Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on (pp. 1913- 1918), Guang Zhou. Fensel, D., McGuiness, D., Schulten, E., Ng, W. K., Lim, G. P., & Yan, G. (2001). Ontologies and Electronic Commerce. Intelligent Systems, IEEE, 16(1), 8-14. Geyer, M. (2005). OWL Bible Ontology. International Journal of Information Technology, 5(2), 199-220. Gruber, T. R. (1993). A Translation Approach to Portable Ontology Specifications. International Journal of Human-Computer Studies, 5(2), 199-220. Gruber, T. R. (1995). Toward Principles for the Design of Ontologies Used for Knowledge Sharing? International Journal of Human-Computer Studies, 43(5), 907-928. Harvey, F., Kuhn, W., Pundt, H., Bishr, Y., & Riedemann, C. (1999). Semantic Interoperability: A central Issue for Sharing Geographic Information. The Annals of Regional Science, 33(2), 213-232. Hislop, D. (2013). Knowledge Management in Organizations: A critical Introduction. Oxford City, England: Oxford University Press. Hoffer, J. A. (2004). Modern Database Management: Pearson Education India. Jones, M. V., Coviello, N., & Tang, Y. K. (2011). International Entrepreneurship Research (1989–2009): A domain Ontology and Thematic Analysis. Journal of Business Venturing, 26(6), 632-659. Kaner, C. (2003). What is a Good Test Case? Software Testing Analysis & Review Conference (STAR East). May 2003, pp. 1-17. Khalid, R. (2011). Classification of Al-Qur'an's Contents (original format) (1st ed.). Perth, Australia: Education Ministry. 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. Klein, M. (2001). Combining and Relating Ontologies: An analysis of Problems and Solutions. Paper Presented at the IJCAI-2001 Workshop on Ontologies and Information Sharing (pp. 53-62). Knublauch, H., Horridge, M., Musen, M. A., Rector, A. L., Stevens, R., Drummond, N., . . . Wang, H. (2005). The Protege OWL Experience. Workshop on OWL: Experiences and Directions, Fourth International Semantic Web Conference (ISWC2005), Galway, Ireland. Kuechler, B., & Vaishnavi, V. (2008). On Theory Development in Design Science Research: Anatomy of a Research Project. European Journal of Information Systems, 17(5), 489-504. Kuhn, T. (2009). Controlled English for Knowledge Representation. (Doctoral Thesis, University of Zurich), Dissertation Abstracts International , 63(12), 230. Leiyu, S. (2008). Health Services Research Methods (2nd ed.). USA: Delmar Learning. Lynn, S. C., & Ronald, R. P. (2010). Basic Research Methods for Librarians (5th ed.). Greenwood Publishing Group: USA. Mika, P. (2005). Ontologies are us: A unified Model of Social Networks and Semantics The Semantic Web–ISWC 2005 (Vol. 3729, pp. 522-536). Heidelberg: Springer. Nguyen, N. T., & Rusin, M. (2006). A consensus-Based Approach for Ontology Integration. Paper Presented at the Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 514-517). Noor. (2009). QUR'AN. Retrieved April 20th, 2014, from http://quran.com/. Nyame-Asiamah, F., & Patel, N. (2009). Research Methods and Methodologies for Studying Organisational Learning. Intelligent Systems, IEEE, 3, pp. 1-15. Qawaqneh, Z., & Kayed, A. (2007). New Method for Ranking Arabic Web Sites Using Ontology Concepts. Paper Presented at the Digital Information Management, 2007. ICDIM'07. 2nd International Conference on (Vol. 2, pp. 649-656). Qurany. (2009). AL-QURAN : The Guidance for Humanity. Retrieved April 20th , 2014, from http://quran.net/. Ranjit, K. (2011). Research Methodology: A Step-By-Step Guide for Beginners (3rd ed.). London: Sage Publication Limited. Saad, S., Salim, N., & Zainal, H. (2009). Islamic Knowledge Ontology Creation. Paper Presented at the Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference on (pp. 1-6). Saad, S., Salim, N., Zainal, H., & Muda, Z. (2011). A process for Building Domain Ontology: An Experience in Developing Solat Ontology. Paper Presented at the Electrical Engineering and Informatics (ICEEI), 2011 International Conference on (pp. 1-5), Bandung, Indonesia. Sherri, J. (2011). Research Methods and Statistics: A critical Thinking Approach (4th ed.). USA: Cengage Learning. Shoaib, M., Nadeem Yasin, M., Hikmat, U., Saeed, M. I., & Khiyal, M. S. H. (2009). Relational WordNet Model for Semantic Search in Holy Quran. Paper Presented at the Emerging Technologies, 2009. ICET 2009. International Conference on) pp. 29-34). Sminia, T., & Stuckenschmidt, H. (2002). Ontology-Based Information Sharing in Weakly Structured Environments. SIKS Dissertation Series No. 2003-01, 195. Sridaran, R., Padmavathi, G., & Iyakutti, K. (2009). A Survey of Design Pattern Based Web Applications. Journal of Object Technology, 8(2), 61-70. Staab, S., & Studer, R. (2010). Handbook on Ontologies. Bandung, Indonesia: Springer. Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge Engineering: Principles and Methods. Data & Knowledge Engineering, 25(1), 161-197. Syuhada, N., & Ta'a, A. (2013). An ontology Approach for Al-Quran Knowledge Representation and Classification. (Unpublished Master‟s Project), Universiti Utara Malaysia. Ul Ain, Q., & Basharat, A. (2011). Ontology Driven Information Extraction from the Holy Qur’an Related Documents. Paper presented at the Proceeding of the 26th IEEEP Students‟ Seminar (pp. 17-23). Uschold, M. (1998). Knowledge Level Modelling: Concepts and Terminology. The Knowledge Engineering Review, 13(01), 5-29. Villa, F., Athanasiadis, I. N., & Rizzoli, A. E. (2009). Modelling with Knowledge: A review of Emerging Semantic Approaches to Environmental Modelling. Environmental Modelling & Software, 24(5), 577-587. Visser, U., Stuckenschmidt, H., & Schlieder, C. (2002). Interoperability in GISenabling Technologies. Paper Presented at the Proceedings of the 5th AGILE Conference on Geographic Information Science (p. 291). Wimalasuriya, D. C., & Dou, D. (2010). Ontology-Based Information Extraction: An Introduction and a Survey of Current Approaches. Journal of Information Science, 36(3), 306-323. Yang, J. (2005). Knowledge Integration and Innovation: Securing New Product Advantage in High Technology Industry. The Journal of High Technology Management Research, 16(1), 121-135. Yauri, A. R., Kadir, R. A., Azman, A., & Murad, M. A. A. (2012). Quranic-Based Concepts: Verse Relations Extraction Using Manchester OWL Syntax. Paper Presented at the Information Retrieval & Knowledge Management (CAMP), 2012, International Conference on (pp. 317-321). 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. Zekr. (2009). ZKER QUR'AN. Retrieved April 20th, 2014, from http://zekr.org/quran/quran-for-windows.

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