Alqahtani, M orcid.org/0000-0001-9403-1286 and Atwell, E orcid.org/0000-0001-9395-3764 (2017) Evaluation Criteria for Computational Quran Search. In: International Journal on Islamic Applications in Computer Science And Technology. IMAN 2016: 4th International Conference on Islamic Applications in Computer Science and Technologies, 20-22 Dec 2016, Khartoum, Sudan. Design for Scientific Renaissance , pp. 12-22.
Abstract
This paper reviews search tools constructed for Information Retrieval from the Holy Quran. This paper evaluates these different search tools against 13 criteria depending on: search features, output features, precision of the retrieved verses, recall database size and types of database contents. Based on this survey, we conclude that most of the existing Quran search tools still cannot solve the problem of ambiguity in the retrieved results because these tools use traditional query analysis and make limited usage of Quran ontologies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jan 2017 14:11 |
Last Modified: | 11 Jun 2018 09:53 |
Published Version: | http://www.sign-ific-ance.co.uk/index.php/IJASAT/a... |
Status: | Published |
Publisher: | Design for Scientific Renaissance |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:111427 |