Retrieval Performance for Malay Quran

Nor Ahmad; Brandon Bennett; Eric Atwell

Retrieval Performance for Malay Quran

Nor Ahmad, Brandon Bennett, Eric Atwell

Abstract

Information Retrieval (IR) plays an important role in retrieving information related to the user’s query. IR relies on finding relevant data from a set of knowledge resources, such as the Quran. Finding information from the Quran can be based on metadata, indexing, or other content-based methods. The Quran is the most widely read book in the world and automating knowledge retrieval from this religious book in general is very challenging. One of the challenging tasks is when the Quran has been translated into various languages around the world by Muslim experts, such as Malay. This has led to the development of a number of search applications in multiple languages, which can retrieve knowledge based on keywords. Retrieving the knowledge from the Quran using keywords has several fundamental problems. In many cases, the searching cannot retrieve the relevant concept or knowledge and verses. Therefore this research investigated the existing problems related to the study of Quran and studies the current search techniques used in research on the Quran, especially the Malay Quran. This research will help researchers understand and learn the current scenario of research on the Quran.

Full Text:

PDF

References

Abbas, N., 2009. Qurany: A tool to search for concepts in the Quran. MSc Research Thesis, School of Computing, University of Leeds.

Abbas, N.H. & Atwell, E., 2013. Annotating the Arabic Quran with semantic web content tags. In E. Atwell & A. Hardie, eds. Proceedings of WACL-2 Second Workshop on Arabic Corpus Linguistics. Lancaster, UK, pp. 54–55.

Adhoni, Z. A., & Al Hamad, H. A. (2014). A Cloud Qur’an Application Using Drupal Technology. International Journal of Web Applications Volume, 6(1), 23–38.

Alfred, R., Mujat, A., & Obit, J. H. (2013). A Ruled-Based Part of Speech (RPOS) Tagger for Malay Text Articles. In Intelligent Information and Database Systems (pp. 50–59). Springer Berlin Heidelberg. http://doi.org/10.1007/978-3-642-36543-0_6

AlMaayah, M., Sawalha, M., & Abushariah, M. A. M. (2014). A Proposed Model for Quranic Arabic WordNet. In Proceedings of the 2nd Workshop on Language Resources and Evaluation for Religious Texts (pp. 9–13).

Alqahtani, M., & Atwell, E. (2015). A Review of Semantic Search Methods to Retrieve Information from the Qur ’ an Corpus. In corpus Linguistics 2015 (pp. 7–9).

Alqahtani, M., & Atwell, E. (2016). Aligning and Merging Ontology in Al-Quran Domain. In 9th Saudi Students conference. Retrieved from http://eprints.whiterose.ac.uk/id/eprint/94921

Alrehaili, S. M., & Atwell, E. (2014). Computational ontologies for semantic tagging of the Quran : A survey of past approaches. In Ninth International conference on language resource and evaluation(LREC’14) (pp. 2–6).

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. In ACM-BCS Visions of Computer Science 2010. ACM-BCS Visions of Computer Science 2010.

Baeza-Yates, R., & Ribeiro-Neto, B. (2011). Modern Information Retrieval: The Concepts and Technology behind Search. In Information Retrieval (Vol. 82, p. 944). Pearson. http://doi.org/10.1080/14735789709366603

Dukes, K. (2013). Statistical Parsing by Machine Learning from a Classical Arabic Treebank. PhD Dissertation, School of Computing, University of Leeds. Retrieved from http://www.kaisdukes.com/papers/thesis-dukes2013.pdf

Dukes, K., Atwell, E., & Sharaf, A. B. M. (2010). Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank. In Proceedings of the 2nd International Conference on Arabic Language Resources and Tools (MEDAR), Cairo, Egypt, 1822–1827.

Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199–220. http://doi.org/10.1.1.101.7493

Hakkoum, A., & Raghay, S. (2015). Ontological approach for semantic modeling and querying the Qur’an. In 3 rd International Conference on Islamic Applications in Computer Science and Technologies (IMAN’15).

Hamed, S. K., & Aziz, M. J. A. (2016). A Question Answering System on Holy Quran Translation Based on Question Expansion Technique and Neural Network Classification. Journal of Computer Science, 12(3), 169–177. http://doi.org/10.3844/jcssp.2016.169.177

Hargood, C., Millard, D. E., & Weal, M. J. (2008). A Thematic Approach to Emerging Narrative Structure. In Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence. http://doi.org/10.1145/1379157.1379168

Hasmy, H., Abu Bakar, Z., & Ahmad, F. (2015). Construction of Computational Lexicon for Malay Language. International Visual Informatics Conference, 257–268.

Ismail, R., Abu Bakar, Z., & Abd Rahman, N. (2015). Extracting knowledge from english translated Quran using NLP pattern. Jurnal Teknologi, 77(19), 67–73. http://doi.org/10.11113/jt.v77.6515

Manning, C. D., Prabhakar, R., & Schuatze, H. (2008). Introduction to Information Retrieval. Computational Linguistics (Vol. 35). http://doi.org/10.1162/coli.2009.35.2.307

M Tarawneh, & Al-Shawakfa, E. (2015). A Hybrid Approach for indexing and searching the Holy Quran. Jordanian Journal of Computer and Information Technology (JJCIT), 1(1), 41–50.

Muhammad, A. B. (2012). Annotation of conceptual co-reference and text Mining the Qur’an. PhD Dissertation, School of Computing, University of Leeds. Retrieved from http://etheses.whiterose.ac.uk/id/eprint/4160

Nassourou, M. (2011). A Knowledge-based Hybrid Statistical Classifier for Reconstructing the Chronology of the Quran. In WEBIST Special Session on Web and Text Mining (WTM 2011).

Nassourou, M. (2012). Using Machine Learning Algorithms for Categorizing Quranic Chapters by Major Phases of Prophet Mohammad’s Messengership. International Journal of Information and Communication Technology Research, 2(11), 863–871.

Omar, N. (2011). Statistical Malay Part-of-Speech ( POS ) Tagger using Hidden Markov Approach. 2011 International Conference on Semantic Technology and Information, 231–236.

Othman, R., & Wahid, F. A. (2011). Issues in Evaluating the Retrieval Performance of Multiscript Translation of Al-Quran. 6th World Congress of Muslim Librarians and Information Scientist (WCOMLIS), i.

Saad, S., Salim, N., & Zainal, H. (2009). Pattern extraction for islamic concept. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 (Vol. 2, pp. 333–337). http://doi.org/10.1109/ICEEI.2009.5254719

Saad, S., Salim, N., Zainal, H., & Noah, S. A. M. (2010). A framework for Islamic knowledge via ontology representation. In 2010 International Conference on Information Retrieval & Knowledge Management (CAMP) (pp. 310–314). http://doi.org/10.1109/INFRKM.2010.5466897

Shoaib, M., Yasin, M. N., Hikmat Ullah, K., Saeed, M. I., & Khiyal, M. S. H. (2009). Relational WordNet model for semantic search in Holy Quran. 2009 International Conference on Emerging Technologies, ICET 2009, 29–34. http://doi.org/10.1109/ICET.2009.5353208

Ta’a, A., Zainal Abidin, S., Abdullah, M. S., Mat Ali, A. B., & Ahmad, M. (2012). Al-Quran Themes Classification Using Ontology. In 4th International Conference on Computing and Informatics (ICOCI 2013).

Tabrizi, A., & Mahmud, R. (2013). Coherence Analysis Issues on English-Translated Quran. Communications, Signal Processing, and Their Applications (ICCSPA), 1–6. Retrieved from http://umexpert.um.edu.my/file/publication/00001321_92836.pdf

Tian Tian. (2012). Using an ontology to improve the web search experience. PhD Dissertation, New Jersey Institute of Technology.

Ullah Khan, H., Muhammad Saqlain, S., Shoaib, M., & Sher, M. (2013). Ontology Based Semantic Search in Holy Quran. International Journal of Future Computer and Communication, 2(6), 570–575. http://doi.org/10.7763/IJFCC.2013.V2.229

Uthayan, K. R., & Mala, G. S. A. (2015). Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System. The Scientific World Journal, 2015(414910), 9.

Wahid, F. A. (2014). Retrieval Performance Of Quranic Texts ( Pimpinan Ar-Rahman ) In Jawi And Rumi Malay. PhD Dissertation, Kulliyyah of Information and Communication Technology

International Islamic University Malaysia.

Xian, B. C. M., Lubani, M., Ping, L. K., Bouzekri, K., Mahmud, R., & Lukose, D. (2016). Benchmarking Mi-POS: Malay Part-of-Speech Tagger. International Journal of Knowledge Engineering, 2(3), 115–121. http://doi.org/10.18178/ijke.2016.2.3.064

Yahya, Z., Abdullah, M. T., Azman, A., & Kadir, R. A. (2013). Query translation using concepts similarity based on Quran ontology for cross-language information retrieval. Journal of Computer Science, 9(7), 889–897. http://doi.org/10.3844/jcssp.2013.889.897

Yauri, A. R., Kadir, R. A., Azman, A., Azrifah, M., & Murad, A. (2012). Quranic-based Concepts : Verse Relations Extraction using Manchester OWL Syntax. In 2012 International Conference on Information Retrieval & Knowledge Management (pp. 317–321).

Yauri, A. R., Kadir, R. A., Azman, A., & Murad, M. A. A. (2014). Semantic Web Application for Historical Concepts Search in Al-Quran. International Journal on Islamic Applications in Computer Science And Technology, 2(2), 1–7.

Yunus, M. A., Zainuddin, R., & Abdullah, N. (2010). Semantic query with stemmer for quran documents results. ICOS 2010 - 2010 IEEE Conference on Open Systems, (Icos), 40–44. http://doi.org/10.1109/ICOS.2010.5720061

Refbacks

There are currently no refbacks.