Abstract
The World Wide Web is the largest distributed information source which is accessed by billions of people all across the world. A unique content source on the web can be accessed by various users for different purposes. Hence it becomes mandatory to capture specific information requirements of each user. This paper proposes a model for building user profiles based on Ontology. The approach proposed in this paper achieves the goal of building user profiles using a hybrid approach. The profile building process is further enriched with the incorporation of web page segmentation. The proposed model extracts the requirement context of the user by utilizing both local and global sources during the profile building process.
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Kuppusamy, K.S., Aghila, G. (2013). An Ontology Based Model for User Profile Building Using Web Page Segment Evaluation. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_41
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DOI: https://doi.org/10.1007/978-3-642-31600-5_41
Publisher Name: Springer, Berlin, Heidelberg
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