Open Access Open Access  Restricted Access Subscription or Fee Access

Ranking and Evaluation of Automatically Constructed Semantic Search Paths

S. Sendhilkumar, T.V. Geetha


Identifying/choosing the best page from the huge set of result pages is one major problem associated with web search. This paper focuses towards the automatic construction of a conceptual graph called Personalized Page-View (PPV) graph which intends to provide a conceptual relation between search queries and result pages returned by any existing search engine. The search paths that exist in the PPV graph are identified and ranked for improving the search through the WWW. Such ranked search paths are evaluated for its relevancy with the user’s context of search based on the user’s feedback. Finally the best search paths that provide the relevant pages with least user effort and less time are recommended to the users.


Semantic Web, Web Search, Personalization, Conceptual Graph, Personalized Page-View Graph

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.