Automatic extration of knouledge from AL Quran

dc.contributor.authorBoucherkha , Ali ; Mosbah , Mawloud
dc.date.accessioned2024-10-28T08:30:54Z
dc.date.available2024-10-28T08:30:54Z
dc.date.issued2024
dc.description.abstractAutomatic natural language processing and text-mining have emerged as scientific fields helping machines to understand the communication language of a human being. Many researches have been conducted for automatic processing of natural languages some are generic no matter what the considered language, based generally on statistics, and some others, qualified as linguistic approaches, are dedicated to a specific language Arabic language is considered among the well spread languages over the world where many humans are interested with because either to their Arabic original or because they are Muslims. Unfortunately, Arabic has, up to now, not received the suitable attention owing to may reasons such as: the complexity of the language where there is a rich repertoire of vocabulary with many indicating for the same indicated .Moreover, in terms of derivation and fluctuation where we need to consider affixes like suffixes and pre-fixes, Arabic is among the scarce languages that include infixes revealed for instance in broken plural. Diacritics which replace vowels in latin and Germanic languages give more difficulty to automatically process of Arabic. Al-Quran, the holly book, the book of God, or the parole of God, is a valuable book regarding the Muslim background and culture. Indeed, from this book, including 114 Surrah (or chapters), Muslims extract their laws and rules to well live this life considered as a preparation for another continuous life coming later where all humans will be directed forever either to hell or to paradise regarding their actual works. Unfortunately, Al-Quran, coming in Arabic, as its original language, and translated so far to many human being languages, is not completely interpreted by Muslims. Although its principles and laws are staying unchangeable , its comprehension over years needs to be continuously treated by the novel generations without any deviation from its general context range designated by the last prophet on behalf of God Our work is a tentative to extract knowledge from Al-Quran through designating some structural rules using some Arabic signal in order to generate these rules. Although it is difficult to process Al-Quran automatically owing to its sensible aspect ‘Parole of God’, we try to do the job carefully considering the De Saussure vision through processing the language as it is and not as it should be. So, we process Al-Quran not to check its validity but in order to learn from it and may be considered later as a reference to check any text written in Arabic. To the best of our knowledge, a lot of works published in the literature is dedicated to build prototypes as Question-Answering system based only on structure and morphology without addressing the semantic level. By this work, we directly address the meaning level through extracting knowledge and rules from Al-Quran. The results achieved are encouraging, as preliminary results, but they need to be well analysed and interpreted in order to open avenues to ask other questions and so on.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/3062
dc.language.isoen
dc.publisherFaculty of Sciences
dc.titleAutomatic extration of knouledge from AL Quran
dc.title.alternativeNet works and distributed systems ( N.S.D )
dc.typeMasters degree thesis
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