Extracting the semantics of understood-and-pronounced of Qur’anic vocabularies using a text mining approach
Other Title(s)
استخلاص دلالات المنطوق و المفهوم من الكلمات القرآنية باستخدام طريقة تعتمد على تنقيب البيانات
Dissertant
al-Saafin, Marwah Abd al-Hakim Amir
Thesis advisor
Comitee Members
Awad Allah, Rawiyah Fawzi
Abu-Shaban, Yusuf Nabil
University
Islamic University
Faculty
Faculty of Information Technology
Department
Information Technology
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2016
English Abstract
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 و المفهوم).
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
Main Subjects
Information Technology and Computer Science
No. of Pages
72
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Theoretical and technical foundation.
Chapter Three : Related works.
Chapter Four : The proposed approach for extracting the semantices of understood-and-pronounced of Quranic vocabularies.
Chapter Five : Experimental results and evaluation.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
al-Saafin, Marwah Abd al-Hakim Amir. (2016). Extracting the semantics of understood-and-pronounced of Qur’anic vocabularies using a text mining approach. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-724512
Modern Language Association (MLA)
al-Saafin, Marwah Abd al-Hakim Amir. Extracting the semantics of understood-and-pronounced of Qur’anic vocabularies using a text mining approach. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-724512
American Medical Association (AMA)
al-Saafin, Marwah Abd al-Hakim Amir. (2016). Extracting the semantics of understood-and-pronounced of Qur’anic vocabularies using a text mining approach. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-724512
Language
English
Data Type
Arab Theses
Record ID
BIM-724512
