Open Access Open Access  Restricted Access Subscription or Fee Access

Mining of user Profiles using Personalized Ontology

C. Kalpana, A. Manimaran

Abstract


To gather useful information from the web has become a challenging issue for users. Current web information gathering systems attempt to satisfy user requirements by capturing their information needs. For this purpose, user profiles are created for user background knowledge description. When representing user profiles many models have utilized only knowledge from either a global analysis or user local information. Through the user profiles, a knowledge representation and reasoning is proposed in this paper. The model constructs user personalized ontologies by extracting global analysis and discovering user background knowledge form user local instance repositories. The proposed ontology model in this paper provides a solution to emphasizing global and local analysis in a single computational model. This ontology model becomes a successful model by evaluating it and it is compared against the benchmark models in web information gathering and also the model has extensive contributions to the fields of Information Retrieval and Information Systems.

Keywords


Web Information Gathering, User Profiles, Ontology, Global Analysis, Local Analysis.

Full Text:

PDF

References


J. D. King, Y. Li, X. Tao, and R. Nayak.” Mining World Knowledge for Analysis of Search Engine Content, “Web Intelligence and Agent Systems, 5(3):233–253, 2007.

Y.Li and N.Zhong, “Mining Ontology for Automatically Acquiring Web User Information Needs,” IEEE Trans. Knowledge and Data Eng., vol. 18, no. 4, pp. 554-568, Apr. 2006.

E. Frank and G.W. Paynter, “Predicting Library of Congress Classifications from Library of Congress Subject Headings,” J.Am.Soc. Information Science and Technology, vol. 55, no. 3, pp. 214-227, 2004.

X. Tao, Y. Li, N. Zhong, and R. Nayak, “Automatic Acquiring Training Sets for Web information Gathering,” Proc. EEE/WIC/ACM nt’l Conf. Web Intelligence, pp. 532-535, 2006.

X. Jiang and A.-H. Tan,“Mining Ontological Knowledge from Domain-Specific Text Documents,” Proc. Fifth IEEE Int’l Conf. Data Mining (ICDM ’05), pp. 665-668, 2005.

K.Sugiyama,K.Hatano,andM.Yoshikawa,“Adaptive Web Search Based on User Profile Constructed without any Effort from Users,” Proc. 13th Int’l Conf. World Wide Web (WWW ’04), pp. 675-684, 2004.

L.A. Zadeh, “Web Intelligence and World Knowledge—The Concept of Web IQ (WIQ),” Proc. IEEE Ann. Meeting of the North American Fuzzy Information Soc. (NAFIPS ’04), vol. 1, pp. 1-3, 2004.

A. Sieg, B. Mobasher, and R.Burke, “WebSearch Personalization with Ontological User Profiles,” Proc. 16th ACM Conf. Information and Knowledge Management (CIKM ’07), pp. 525-534, 2007

S. Gauch, J. Chaffee, and A. Pretschner, “Ontology-Based Personalized Search and Browsing,” Web Intelligence and Agent Systems, vol. 1, nos. 3/4,pp.219-234,2003.

J. Trajkova and S. Gauch, “Improving Ontology Based UserProfiles,” Proc. Conf. Recherched’ Information Assistee par Ordinateur (RIAO’04),pp.380-389,2004.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.