Publication:
Query Cost-Reduction For Quranic-Arabic Information Retrieval Using Hexadecimal Conversion Algorithm

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dc.ConferencecodeUnit Utara Malaysia, Sch Comp
dc.ConferencedateAPR 25-27, 2017
dc.ConferencelocationKuala Lumpur, MALAYSIA
dc.Conferencename6th International Conference on Computing and Informatics - Embracing Eco-Friendly Computing
dc.contributor.authorMazlan, AAen_US
dc.contributor.authorNorwawi, NMen_US
dc.contributor.authorWahid, FAen_US
dc.contributor.authorIsmail, Ren_US
dc.contributor.authorAl Omoush, Aen_US
dc.date.accessioned2024-05-29T02:54:35Z
dc.date.available2024-05-29T02:54:35Z
dc.date.issued2017
dc.description.abstractDigital Quran is a natural language document that use either Arabic font or images of the verses. In the Al-Quran there are 18994 unique words. Thus, the image approach uses a significant amount of memory space. However there is not much work has been done using machine translation (MT) technique for the Quranic representation. This paper will proposed Arabic information retrieval based on keywords search in Hexadecimal Representation using Al-Quran verses as the test case. All Quranic words will transliterate into machine language in the form of binary format after removing diacritic and duplication. This machine language approach in representing Digital Quran reduces the size of storage around 47-54% and retrieval time up to 20% hence reduce the query cost for Arabic information retrieval in general.
dc.identifier.epage98
dc.identifier.issn2289-3784
dc.identifier.scopusWOS:000404847200014
dc.identifier.spage91
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11476
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniv Utari Malaysia-Uumen_US
dc.relation.ispartofProceedings Of The 6th International Conference On Computing And Informatics: Embracing Eco-Friendly Computing
dc.sourceWeb Of Science (ISI)
dc.subjecthexadecimal conversionen_US
dc.subjectarabic information retrievalen_US
dc.subjectquery cost reductionen_US
dc.subjectdigital quran representationen_US
dc.titleQuery Cost-Reduction For Quranic-Arabic Information Retrieval Using Hexadecimal Conversion Algorithmen_US
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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