Ontology for semantic web using personalization

Author

Kumari, K. Anitha ; Saranya, K. ; Babu, B. ; Sathasivam, G. Sudha

Author_Institution

PSG Coll. of Technol., Coimbatore, India

fYear

2012

fDate

30-31 March 2012

Firstpage

688

Lastpage

693

Abstract

Semantic web using personalization support to provide relevant search results for searcher. Ontology is an effective method for modelling digital collections and user contexts. User profiling is commonly employed nowadays to enhance usability as well as to support personalization, adaptivity and other user-centric features. This work aims at creating a user profile ontology that incorporates concepts and properties used to model the user profile. So far we create ontology for contents and location based on user profile. The inbuilt ontology helps to avoid the sparecity problem in the web and retrieve the user relevant information.

Keywords

information retrieval; ontologies (artificial intelligence); semantic Web; digital collection modelling; personalization; relevant search results; semantic web; sparecity problem; user context modelling; user profile ontology; user relevant information retrieval; Conferences; Context; Education; Intelligent agents; Knowledge based systems; Ontologies; Usability; Sparecity;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Conference_Location

Nagapattinam, Tamil Nadu

Print_ISBN

978-1-4673-0213-5

Type

conf

Filename

6215926