Ontology Matching: A Case of English Translation of Al-Quran Tafsir

The Al-Quran presents the sophisticated set of knowledge, which is organized in 30 Suras, with 6236 verses and several topics as the guidelines for every part of life. To comply with guidelines given by Islam, main challenges are to arrange, co-relate, extract, and find the correct meaning of knowledge engraved in these suras, juz, and verses. In this study, an argument in establishing ontology-matching technique is presented. The objective of this research is to present properties of Al-Quran tafsir knowledge. This study propose a highly granular ontology design for Al-Quran tafsir. Finally, to establish Ontology matching as knowledge management technique, this research presents experiments and results after applying word-matching technique. Presence of number of matching count in suras according to its theme proves the argument.