Ahmad, ND, Bennett, B and Atwell, ES orcid.org/0000-0001-9395-3764 (2016) Semantic-based Ontology for Malay Qur'an Reader. In: IMAN'2016 4th International Conference on Islamic Applications in Computer Science and Technologies. IMAN'2016 4th International Conference on Islamic Applications in Computer Science and Technologies, 20-22 Dec 2016, Khartoum, Sudan.
Abstract
The Quran has been translated into various languages around the world by Muslim experts. One of them is in Malay. There are numerous applications built to facilitate the retrieval of knowledge from the Malay Qur’an. However, there are limited resources and tools that are available or made accessible for the research on Malay Qur’an. Furthermore, there are several issues that need to be considered when dealing with Malay Qur’an translation; such as ambiguities of words, lack of equivalence words between Malay and English or Malay and Arabic, and different structures of word, sentence, and discourse in these two languages. Therefore, this research summarizes the search techniques used in existing research on Qur’an. Moreover, this paper also studied the previous research conducted on Qur’an Semantic Search and Quran Ontology-Based Search focusing on Malay Qur’an. This review helps the research in addressing the general problems and limitations in Malay Qur’an that influence its accessibility. This research proposed the research framework for new semantic based ontology for Malay Qur’an. The final outcome will be an accessible tool that can help a Malay reader to understand the Qur’an in better ways.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Qur’an; Malay Qur’an; Semantic Search; Ontology; Semantic-based Ontology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Mar 2017 12:50 |
Last Modified: | 15 Jan 2018 17:20 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112948 |