Automatic conversion of web content into ontology-based resource description language for tourism domain
by Palanisamy Jayaprabha; Arumugam Saradha
International Journal of Innovation and Learning (IJIL), Vol. 12, No. 3, 2012

Abstract: 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 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.

Online publication date: Thu, 28-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email