Alqahtani, M and Atwell, ES orcid.org/0000-0001-9395-3764 (2016) Arabic Quranic Search Tool Based on Ontology. In: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 Proceedings, Natural Language Processing and Information Systems, Lecture Notes in Computer Science. NLDB 2016 21st International Conference on Applications of Natural Language to Information Systems,, 22 Jun 2016, Salford, UK. Springer International Publishing , pp. 478-485. ISBN 978-3-319-41753-0
Abstract
This paper reviews and classifies most of the common types of search techniques that have been applied on the Holy Quran. Then, it addresses the limitations of these methods. Additionally, this paper surveys most existing Quranic ontologies and what are their deficiencies. Finally, it explains a new search tool called: a semantic search tool for Al-Quran based on Qur’anic on-tologies. This tool will overcome all limitations in the existing Quranic search applications.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, Springer International Publishing. This is an author produced version of a paper published in 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 Proceedings, Natural Language Processing and Information Systems, Lecture Notes in Computer Science.. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_52. |
Keywords: | Holy Quran, Information Retrieval (IR), Natural Language Processing (NLP), Ontology, Semantic Search |
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) > Artificial Intelligence & Biological Systems (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K015206/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jun 2016 12:30 |
Last Modified: | 15 Jan 2018 19:13 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-41754-7_52 |
Status: | Published |
Publisher: | Springer International Publishing |
Identification Number: | 10.1007/978-3-319-41754-7_52 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101257 |