An unfangled approach to semantic search for e-tourism domain

Abstract

Semantic web is the technology which drives the syntactic search and there are a wide variety of applications available for tourism sector today which promotes the country's economic status. This paper concerned with the development of a model towards the semantic search and the result which is based on user's priority while searching the tourism domain of interest. From this proposed model, the conditional probability for the given input can be calculated and querying ontology to provide relevant information. This proposed model has been developed with use of Netica-J. The ontology is being created with Protégé which is the tool used as an ontology editor and the SPARQL is used for querying the ontology. The interface between the ontology and SPARQL is being made with the help of Jena.