Evaluation of Quran recitation via OWL ontology based system

The Linguistic miracle in the Holy Quran leads to many challenges in Automate Quran recitation evaluation. This paper considers one of suggestions of how natural language processing can benefit from using ontology. In this paper, we proposed a general automatic system to evaluate Quran recitation according to Hafs reading. That is via integration the ontology based as artificial intelligent knowledge representation method and Automatic Speech Recognition (ASR) technology as a way of interaction with computer. Our proposed system solves the problem of evaluating all intonations (Tajweed) in the same time in addition to evaluate set of Quran segments in the wright arrangement of reading. The system uses Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) respectively in feature extraction and dimension reduction on Arabic speech. Also, we construct Quran ontology based for Quranic speech and integrate it with information retrieval system. Quran ontology based is the first version to merge Quran meaning" Tafseer" and its recitation in the Universal oral exam to take advantage of semantic property of ontology. Experimentally, our system gives good accuracy for Quran recitation evaluation.