Using themes-based ontology for learning Al-Quran knowledge
Azman Ta’a1, Muhamad Shahbani Abu Bakar2, Bashah Mat Ali3, Muhammad Ahmad4.
Learning Al-Quran knowledge involves the classification of Al-Quran verses
into a better understanding for the readers. This research aims to explore
a themes based ontology approach to classify Quranic verses. Nowadays,
Information and Communication Technologies (ICTs) are becoming
increasingly important, which requires Quranic knowledge representation
to be understood by both humans and computers. Efforts have been carried
by many Muslim scholars and intellectuals in developing ICT applications
for Islamic uses, and at the same time promote Islamic knowledge and
information through ICT enabling tools which has become a driver for
readers all over the world to collect, exchange, share and spread information
about Islam. Current approaches use conventional methods to classify
knowledge, such as taxonomy, hierarchy or tree structure, which only
provides a concept definition without a link to other sources of knowledge.
Therefore, due to the significant benefits of the theme based approach, this
research uses a theme based classification approach to develop the Quranic
Ontology. The ontology model for the Al-Quran was developed based on the
Quranic knowledge themes which are defined in the “Syammil Al-Quran”
(“Miracle the Reference”). Understanding the depth of Islamic knowledge
and teaching needs an established academic method. On the other hand,
learning Quranic knowledge through ICT has shown great impact on new
learning methods for readers and has proved to be an effective way for
enhancing the knowledge of the Al-Quran.
Affiliation:
- Universiti Utara Malaysia, Malaysia
- Universiti Utara Malaysia, Malaysia
- Universiti Utara Malaysia, Malaysia
- Universiti Utara Malaysia, Malaysia
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