Extracting the Semantics of Understood-and-Pronounced of Qur’anic Vocabularies Using a Text Mining Approach
| المؤلف الرئيسي: | Al Saafin, Marwa Abd Alhakim (Author) |
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| مؤلفين آخرين: | Baraka, Rebhi Soliman (Advisor) |
| التاريخ الميلادي: |
2016
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| موقع: | غزة |
| التاريخ الهجري: | 1437 |
| الصفحات: | 1 - 72 |
| رقم MD: | 736538 |
| نوع المحتوى: | رسائل جامعية |
| اللغة: | الإنجليزية |
| الدرجة العلمية: | رسالة ماجستير |
| الجامعة: | الجامعة الإسلامية (غزة) |
| الكلية: | كلية تكنولوجيا المعلومات |
| الدولة: | فلسطين |
| قواعد المعلومات: | Dissertations |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
84
| المستخلص: |
This research presents an approach to extract semantics of Quran vocabularies by classifying their meanings into two categories; the Understood and the Pronounced (علم المنطوق والمفهوم). Understood vocabularies are defined as the meaning of words that are not in place of pronunciation and it has two types: the agree understood meaning, and the disagree understood meaning. In our research we focus on extracting the first type of these categories. However, the Pronounced vocabularies are defined as the meaning of words that are in place of pronunciation. This category have several types, we focus on two of them which are textual operative and interpreter operative. The approach develop the ontology with concepts to support queries needed in the approach. We develop computational analysis of the Quranic vocabularies and compare them according to ontological concepts with lexical meanings. We build some rules based on our study about Understood-and Pronounced, we applying them as preparation for classification step. The results can be helpful to Quranic scholars and students to distinguish between the semantics of Quranic vocabularies which is one of the most important fields in Qur’an sciences and interpretation. |
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