Ontology of social interaction ethics from the source of surah Al Hujurat in the Quran / Mohamad Azlan Kamarulzaman

Kamarulzaman, Mohamad Azlan (2016) Ontology of social interaction ethics from the source of surah Al Hujurat in the Quran / Mohamad Azlan Kamarulzaman. [Student Project] (Unpublished)

Abstract

With ontology, different concepts and terms can be collected and reunited on a single domain. In addition, knowledge can be easily delivered to users using ontology. At the same time, vast knowledge can be learnt from the Quran where different themes can be discussed including business, divine being, religious practices and many more. One particular topic that is quite interesting is social interaction ethics. Moreover, people in Malaysia also have shown a slight declining of social ethics among them especially teenagers nowadays. Hence, this project will develop ontology that can be used to organize or deliver the knowledge of social interaction ethics in the Quran to people. The ontology will be developed using the appropriate ontology development tools and method. Alongside this ontology will also be created, a semantic web which will present the information in the ontology so that it is easier for user to learn. From this project user can learn what are the encouraged and discouraged ethics as well as what are the verses that support these statements. Hopefully, user will be able to benefit from this project.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Kamarulzaman, Mohamad Azlan
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Keywords: Ontology; Social interaction ethics; Surah Al Hujurat
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/18156
Edit Item
Edit Item

Download

[thumbnail of PPb_MOHAMAD AZLAN KAMARULZAMAN CS 16_5.pdf] Text
PPb_MOHAMAD AZLAN KAMARULZAMAN CS 16_5.pdf

Download (347kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

18156

Indexing

Statistic

Statistic details