Developing a Semantic Search Method for Retrieving Food Related Verses and Concepts from Holy Quran Using Ontology

The Qur’an is Allah (SWT)’s greatest miracle and is the holy book of Allah (SWT). Everything about the earth and the heavens is revealed in the holy Qur’an. This holy book is the source of all knowledge and information. As a Muslim, our duty is not only to recite the Qur’an, but also it is important to gain knowledge of the Qur’an to lead our life. Ontology is one of the best ways to retrieve Quranic knowledge in a technical way. So ontology technology is used in this proposed method. The modern age is the age of the internet. With the help of internet, many search engines are found that help to find information from the Qur’an. But most of the search engines or information retrieval systems are keyword based. Keyword based search can often lead to wrong and irrelevant results. To overcome this problem, semantic search is most useful in this case. The aim of research is to develop an ontological semantic based method to retrieve the food related verses and concepts from the holy Qur’an by using natural language query. In this work, the triplet extraction algorithm has been used for generating triple, protege OWL editor 4.3 version for creating food ontology and for query of SPARQL Apache Jena fuseki server is used. Quranic data have been collected from translated English version of the consecrated Qur’an by Sahih International and Quran.gov.bd.