International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 9 | Year 2013 | Article Id. IJCTT-V4I9P125 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I9P125

A Knowledge Based Model for Pecularised Web Information Gathering using Ontologies

Satya Bhanu Jonnalagadda, A. Sravani, Prof.S.V.Achutha Rao

Citation :

Satya Bhanu Jonnalagadda, A. Sravani, Prof.S.V.Achutha Rao, "A Knowledge Based Model for Pecularised Web Information Gathering using Ontologies," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 9, pp. 3086-3090, 2013. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V4I9P125

Abstract

Ontology’s are used collecting the information from the web for the sake of knowledge description as well as representing the user profiles. Generally in case of user profiles representation different kinds of models have been used only knowledge from local repository or global repository’s. In this paper we are defining the main objective is increasing web information gathering performance for the sake of collecting information from the web by using the concept called "Ontological user profiles" here we are going to proposed secrete ontology algorithm to represent the user profiles from the both global and local base repositories. Here the secrete algorithm is constructed by adopting users given feedback based on the interesting topic. A concept model is possessed by users and is generated from there background knowledge. This concept model cannot be proven in laboratories; many web oncologists have observed it in a user behavior the results show that this ontology model is successful.

Keywords

ontology, personalized search, Global repositories, local repositories, user profiles, similar relations, collecting data from web,

References

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