TY  - JOUR
T1  - A Systematic Review Analysis for Quran Verses Retrieval
AU - Mohamad Safee, Muhammad Afifi AU - Saudi, Madihah Mohd AU - Pitchay, Sakinah Ali AU - Ridzuan, Farida 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 3
SP  - 629
EP  - 634
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.629.634
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.629.634
KW  - Complexity
KW  -guidance
KW  -retrieval
KW  -integrating ontology alignment technique
KW  -Quran ontology alignment model
KW  -domain ontology
AB  - Now a days, a proper method for presenting information is crucial due to the increase of mass volume and complexity of information. As for Muslim, Quran is referred as one of the main resources for guidance and reference for their daily life. Currently, there are many methods have been used for Quran verses retrieval. However, there is still lack of studies on the scientific way for Quran verses retrieval. As a consequence, it is quite hard to obtain accurate information and might lead to wrong information being retrieved. Therefore, this study investigates and evaluates the strengths and weaknesses of existing works. Furthermore, a case study on a new Quran ontology alignment model by integrating the upper ontology (Quran corpus) and domain ontology (general medical) for Quran verses extraction is discussed in this study. Based on the findings, ontology remodeling is required to fix the inconsistency of the ontology by integrating ontology alignment technique and fuzzy algorithm.
ER  -