Quranic-based concepts: verse relations extraction using Manchester OWL syntax
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 keyword...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf |
| _version_ | 1825929927887683584 |
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| author | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_facet | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_sort | Yauri, Aliyu Rufai |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T09:03:55Z |
| format | Conference or Workshop Item |
| id | upm.eprints-48063 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:03:55Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-480632016-08-03T07:40:36Z http://psasir.upm.edu.my/id/eprint/48063/ Quranic-based concepts: verse relations extraction using Manchester OWL syntax Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah 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. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf 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). 10.1109/InfRKM.2012.6204998 |
| spellingShingle | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title | Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title_full | Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title_fullStr | Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title_full_unstemmed | Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title_short | Quranic-based concepts: verse relations extraction using Manchester OWL syntax |
| title_sort | quranic based concepts verse relations extraction using manchester owl syntax |
| url | http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf |
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