This paper p r e s e n t s techniques for knowledge description and formalization, ontologies are used to represent user profiles in personalized web data. However, when representing user profiles, many models or techniques have utilized only knowledge from either a global knowledge base or a user local information. In this paper, a personalized ontology model is proposed for knowledge representation and reasoning over user profiles. This model learns ontological user profiles from both a world knowledge base and user local instance repositories. The ontology model is evaluated by comparing it against benchmark models in web information gathering. The results show that this ontology model is successful.
RAO, A.ESWARA; SOWMYA, G. V. S.; and SAILAKSHMI, P.N.
"ONTOLOGY TECHNIQUES FOR WEB DATA,"
International Journal of Computer Science and Informatics: Vol. 3
, Article 10.
Available at: https://www.interscience.in/ijcsi/vol3/iss3/10