Ontology Supported Case-Based Reasoning for Tourist Knowledge Discovery

Abstract

Agra, city of the Taj Mahal, is a famous tourist spot that attracts people from all over the world. The issue that arises is how to store tourism information of Agra more semantically and make the information reusable and sharable so that it enables effective search. This research presents OCBR-Tour System that integrates ontology and case-based reasoning in the tourism domain. Ontology models are developed into ontology forms with class, each class is divided into subclasses in which the relationships of them are direct properties of the class object property, and data property. The research result provides the ontology on information of tourism components in Agra. The ontology is used for information retrieval using DL queries. Case-based reasoning is used to predict the attractions to visit in the city. Rules are generated to further enhance the tour plan for the tourists.