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Extracting Semantic Relations From The Quranic Arabic Based On Arabic Conjunctive Patterns

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Bentrcia, Rahima (Author)
مؤلفين آخرين: Zidat, Samir (Co-Author) , Marir, Farhi (Co-Author)
المجلد/العدد: مج30, ع3
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2018
الصفحات: 382 - 390
DOI: 10.33948/0584-030-003-007
ISSN: 1319-1578
رقم MD: 974443
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
اللغة العربية | النحو العربي | الأنطولوجيا | تحليل النصوص
كلمات المؤلف المفتاحية:
Ontology | Text Mining | Arabic AND Conjunctive Patterns | Arabic Grammar | Semantic Relations | Quranic Arabic Corpus
رابط المحتوى:
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المستخلص: There is an immense need for information systems that rely on Arabic Quranic ontologies to provide a precise and comprehensive knowledge to the world. Since semantic relations are a vital component in any ontology and many applications in Natural Language Processing strongly depend on them, this motivates the development of our approach to extract semantic relations from the Quranic Arabic Corpus, written in Arabic script, and enrich the automatic construction of Quran ontology. We focus on semantic relations resulting from proposed conjunctive patterns which include two terms with the conjunctive AND enclosed in between. The strength of each relation is measured based on the correlation coefficient. Finally, we evaluate the significance of this method by using hypotheses testing and Student t-test. The obtained results are very promising since we combine an accurate Arabic grammar with strong statistical techniques to prove the existence and measure the strength of this type of semantic relations.
ISSN: 1319-1578

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