OBJECT-BASED KNOWLEDGE REPRESENTATION OF FEMALE RELATED ISSUES FROM THE HOLY QURAN

Ku Ruhana Ku-Mahamud,Noraziah Che Pa,Farzana Kabir Ahmad,Faudziah Ahmad,Roshidi Din,Aniza Mohamed Din,Wan Hussain Wan Ishak

doi:10.32890/jict.13.2014.8152

Ku Ruhana Ku-Mahamud, Noraziah Che Pa + Show 5 more

Open Access

https://doi.org/10.32890/jict.13.2014.8152

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Abstract

Focusing on the use of Semantic Network and Conceptual Graph (CG) representations, this paper presents an easy way in understanding concepts discussed in the Holy Quran. Quran is known as the main source of knowledge and has been a major source reference for all types of problems. However understanding the issues and the solution from the Quran is diffi cult due to lack of understanding of Quran literature. Meticulously, the Quran contains much important information related to female. However, this information are scattered and complexly linked. Technically, to extract and present the encapsulated knowledge on female matters in the Quran is a challenging task. Thus, this paper discusses on how to understand and represent the knowledge in an easy way. A total of 18 female terms are identifi ed. Through the terms, the name of surah, verses number and text from the verses are gathered. The texts are then analyzed and clustered into specifi c issues. Result of the analysis that consists of extracted knowledge on female issues is presented in a systematic structure using Semantic Network and CG. The strength and advantages of both approaches are compared, discussed and presented.

Highlights

The Quran holds a large volume of unstructured subjects that is conceptually related between verses
Examples of research on text mining related to the Quran are grammatical parsing for the Quran (Salih, 2007; Al-Kharrat, 2007), categorization of modern standard Arabic verb valence based on Case Grammar (Al-Qahtani, 2005) and Quranic search engine based on semantic search (Raza, Rehan, Ahsan & Khan, 2014)
This paper focuses on the use of objectbased representations which are Semantic Network and Conceptual Graph (CG)

Summary

Introduction

The Quran holds a large volume of unstructured subjects that is conceptually related between verses. The process of extracting knowledge is known as text extraction and this topic has been a popular research area on texts document. Researches on text extraction relating to the Quran are scarce. Text extraction has been seen as a difficult process because of the unstructured data. Text mining is an approach that has been widely used to analyze this type of data. Examples of research on text mining related to the Quran are grammatical parsing for the Quran (Salih, 2007; Al-Kharrat, 2007), categorization of modern standard Arabic verb valence based on Case Grammar (Al-Qahtani, 2005) and Quranic search engine based on semantic search (Raza, Rehan, Ahsan & Khan, 2014)

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