Automatic conversion of web content into ontology-based resource description language for tourism domain

World Wide Web (WWW) becomes the biggest repository of information and most of the data in the web are in unstructured text format. Search engines returns inappropriate result to the users query and the machines find it difficult to integrate the information available in the World Wide Web due to unstructured information. During information retrieval from the internet, the search engines take care of the locations instead of caring about semantics of the information. The above shortcomings are overcome with the evolution of the next generation web 'Semantic Web'. Semantic Web maintains the web in a structured form and makes web accessible data more amenable to machine processing. It becomes a challenging task to the research community to convert, integrate voluminous of legacy text data that are unstructured and semi structured into Semantic Web format. This paper proposes a generic approach to transform the existing web contents related to tourism domain into Semantic Web format using RDF with ontology. Such Semantic Web will be advantageous for semantic search and it provides better interoperability.