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Personalized Ontological Framework for Web Information Retrieval
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 65 - Number 19 |
| Year of Publication: 2013 |
| Authors: Smita R. Sankhe, Kavita Kelkar |
10.5120/11036-6335
|
Smita R. Sankhe, Kavita Kelkar . Personalized Ontological Framework for Web Information Retrieval. International Journal of Computer Applications. 65, 19 ( March 2013), 47-51. DOI=10.5120/11036-6335
Abstract
In proposed system personalized ontology for web information retrieval is introduced: Specificity and Exhaustively. Specificity describes a subject’s focus on a given keyword. Exhaustively restricts a subject’s semantic space dealing with the topic. Personalized ontology framework is proposed for knowledge representation and reasoning over behavior of users. This framework learns user profiles from both a world knowledge base and user background knowledge. The world knowledge and user background information are used to attempt to discover and specify user background knowledge. From a world knowledge base (WordNet database) personalized ontology are constructed focusing on user occupation. Ontological framework provides a solution to emphasizing global and local knowledge in a single computational framework. We present a personalized user specific ontological framework using WordNet knowledge for web information retrieval which will help to present the relevant search result to the user
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