Quranic-based concepts: verse relations extraction using Manchester OWL syntax

Citation

Yauri, Aliyu Rufai and Abdul Kadir, Rabiah and Azman, Azreen and Azmi Murad, Masrah Azrifah (2012) Quranic-based concepts: verse relations extraction using Manchester OWL syntax. In: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 317-321).

Abstract

In recent years, there is global demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about number of automated applications that ease the retrieval of knowledge from the holy books. However current retrieval methods lack semantic information they are mostly base on keywords matching approach. In this paper we have proposed a Model that will make use of semantic Web technologies (ontology) to model Quran domain knowledge. The system will enhance Quran knowledge by enabling queries in natural language.

Download File

Preview

PDF (Abstract)
Quranic-based concepts verse relations extraction using Manchester OWL syntax.pdf
Download (36kB) | Preview

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/InfRKM.2012.6204998
Publisher:	IEEE
Keywords:	Islamic knowledge; Keyword matching; Ontology; Semantic technology
Depositing User:	Nabilah Mustapa
Date Deposited:	03 Aug 2016 07:40
Last Modified:	03 Aug 2016 07:40
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/InfRKM.2012.6204998
URI:	http://psasir.upm.edu.my/id/eprint/48063
Statistic Details:	View Download Statistic

Actions (login required)

View Item