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

Author

Yauri, Aliyu Rufai ; Kadir, Rabiah Abdul ; Azman, Azreen ; Murad, Masrah Azrifah Azmi

Author_Institution

Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia

fYear

2012

fDate

13-15 March 2012

Firstpage

317

Lastpage

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.

Keywords

knowledge representation languages; natural language processing; pattern matching; programming language semantics; query processing; semantic Web; Islamic knowledge; Manchester OWL syntax; Quran domain knowledge; Quranic-based concept; holy book; keyword matching approach; knowledge retrieval; natural language; query processing; semantic Web technology; semantic information retrieval; Data mining; OWL; Ontologies; Semantics; Syntactics; Islamic Knowledge; Keyword Matching; Ontology; Semantic Technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4673-1091-8

Type

conf

DOI

10.1109/InfRKM.2012.6204998

Filename

6204998