Ontology Based Knowledge Retrieval and Semantic Modelling of Qur'an with Contextual Information

Raheel Ahmad Farrukh, Zeeshan Khan, Muhib Ahmad Khan

Abstract


Quran is the holy book of Muslims that was reviled on the last Prophet Muhammad (PBUH). It contains the complete code of life not only for Muslims but also for mankind. Quran is also a source of humongous information about science and technology as well. To gather the organized knowledge about Islam with all references and verses in one collective form, the basic understanding of Quran, its semantics and its lexicon is always the first step. For that purpose, ontology plays a pivotal role in gathering and presenting the Quran knowledge. Current ontology based semantic approaches show redundant and has numerous errors in delivering sincere concepts of Quran with multi-references and verses and not considering the contextual information. Furthermore, previous approaches only consider the Quranic information and its concept, without correlating the information about subject and its authenticity by giving the cross references of Quran with context. Learning about the Quranic information and its topics is extremely important and should deliver valid, sincere and authentic information. This paper is proposing a technique that helps in learning of Quran by utilizing the semantic based search approach with cross references about subject and context. For this purpose, an application is developed to form several datasets which link chapters, verses, words and concepts with their reference chapters, verses, words and concepts defined in Quran with the help of authentic books written by Islamic scholars and also by consulting different scholars. Then these datasets are transformed into ontology, which links up each subject with other related subjects and context so far, we had represented the following concepts: chapter, verse, word, pronoun reference, topic, location, living creation and event. Furthermore, an application is developed to run queries and perform different searches related to Quranic knowledge on this Ontology.


Full Text:

PDF

References


• Abbas, N., Luluh, A., Al-Khalifa, H., Alqassem, Z., Atwell, E., Dukes, K., . . . Sharaf, A.-B. M. (2013). Unifying linguistic annotations and ontologies for the Arabic Quran. Paper presented at the Proceedings of WACL-2 Second Workshop on Arabic Corpus Linguistics.

• Abdelaal, N. M., & Md Rashid, S. (2016). Grammar-related semantic losses in the translation of the Holy Quran, with special reference to Surah Al A’araf (The Heights). SAGE Open, 6(3), 2158244016661750.

• Afzal, H., & Mukhtar, T. (2019). Semantically enhanced concept search of the Holy Quran: Qur’anic English WordNet. Arabian Journal for Science and Engineering, 44(4), 3953-3966.

• Ahmed, R., & Atwell, E. (2016). Developing an Ontology of Concepts in the Qur'an. International Journal on Islamic Applications in Computer Science And Technology, 4(4), 1-8.

• Al-Sanasleh, H. A., & Hammo, B. H. (2017). Building domain ontology: Experiences in developing the prophetic ontology form Quran and hadith. Paper presented at the 2017 International Conference on New Trends in Computing Sciences (ICTCS).

• Ali, B. B. M., & Ahmad, M. (2013). Al-Quran themes classification using ontology. Icoci. Cms. Net. My, 74, 383-389.

• Allawi, I., & Iltayif, M. (2020). The Semantic Faces of The Words of Guiding in The Holy Quran. Journal of Tikrit university for humanities-مجلة جامعة تكريت للعلوم الانسانية, 27(1), 150-129.

• Allemang, D., & Hendler, J. (2011). Semantic web for the working ontologist: effective modeling in RDFS and OWL: Elsevier.

• Alqahtani, M. M. A. (2019). Quranic Arabic Semantic Search Model Based on Ontology of Concepts. University of Leeds.

• Chauhan, R., Goudar, R., Sharma, R., & Chauhan, A. (2013). Domain ontology based semantic search for efficient information retrieval through automatic query expansion. Paper presented at the 2013 international conference on intelligent systems and signal processing (ISSP).

• Deepak, G., & Priyadarshini, J. S. (2018). Personalized and Enhanced Hybridized Semantic Algorithm for web image retrieval incorporating ontology classification, strategic query expansion, and content-based analysis. Computers & Electrical Engineering, 72, 14-25.

• Elsayed, E. K., & Fathy, D. (2019). Evaluation of quran recitation via OWL ontology based system. Int. Arab J. Inf. Technol., 16(6), 970-977.

• Hakkoum, A., & Raghay, S. (2015). Advanced Search in the Qur'an using Semantic modeling. Paper presented at the 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA).

• Hakkoum, A., & Raghay, S. (2016). Semantic Q&A System on the Qur’an. Arabian Journal for Science and Engineering, 41(12), 5205-5214.

• Kannengiesser, U., & Müller, H. (2018). Multi-level, viewpoint-oriented engineering of cyber-physical production systems: An approach based on Industry 4.0, system architecture and semantic web standards. Paper presented at the 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

• Mannan, J. M., & Sundarambal, M. SEMANTIC TERM BASED INFORMATION RETRIEVAL USING ONTOLOGY.

• Noordin, M. F. (2015). Knowledge exploration: Selected works on Quran ontology development. Journal of Theoretical and Applied Information Technology, 72(3), 385-393.

• Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology: Stanford knowledge systems laboratory technical report KSL-01-05 and ….

• Ouda, K. (2015). Semantic Search and Intelligence System for the Quran. M. Sc. project report at University of Leeds, available online: https://vlebb. leeds. ac. uk/bbcswebdav/orgs/SCH_Computing/MS CProj/reports/1415/OUDA. pdf.

• Qin, J., & Paling, S. (2001). Converting a controlled vocabulary into an ontology: the case of GEM.

• Sadi, A. S., Anam, T., Abdirazak, M., Adnan, A. H., Khan, S. Z., Rahman, M. M., & Samara, G. (2016). Applying ontological modeling on quranic" nature" domain. Paper presented at the 2016 7th International Conference on Information and Communication Systems (ICICS).

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

• SURYANA, N., UTOMO, F. S., & AZMI, M. S. (2018). QURAN ONTOLOGY: REVIEW ON RECENT DEVELOPMENT AND OPEN RESEARCH ISSUES. Journal of Theoretical & Applied Information Technology, 96(3).

• Tashtoush, Y. M., Al-Soud, M. R., AbuJazoh, R. M., & Al-Frehat, M. (2017). The noble quran Arabic ontology: Domain ontological model and evaluation of human and social relations. Paper presented at the 2017 8th International Conference on Information and Communication Systems (ICICS).

• Utomo, F., Suryana, N., & Azmi, M. (2020). Question Answering Systems on Holy Quran: A Review of Existing Frameworks, Approaches, Algorithms and Research Issues. Paper presented at the Journal of Physics: Conference Series.

• Wu, J., Ilyas, I., & Weddell, G. (2011). A study of ontology-based query expansion Technical report CS-2011–04.


Refbacks

  • There are currently no refbacks.