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Query Driven Conceptual Browsing: A Semi-Automated Approach for Building and Exploring Concepts on the WebKinshuk JerathCarnegie Mellon University - David A. Tepper School of Business Balaji PadmanabhanUniversity of South Florida - College of Business Administration December 2005 15th Annual Workshop on Information Technolgies & Systems (WITS) Paper Abstract: The presence of communities, which are groups of highly cross referenced pages together representing a single concept, is a striking feature of the World Wide Web. Quite often a group of communities, each topically coherent within itself, may be related through a common concept manifested in each of them. Motivated by this observation, we present a method for query-driven conceptual browsing for exploring concepts on the Web starting from a user-specified query. We show how this idea is related to prior work on learning concept maps and on Web Mining, and discuss the application of conceptual browsing for user-driven exploration and discovery of new concepts on the Web.
Number of Pages in PDF File: 6 working papers seriesDate posted: February 27, 2006 ; Last revised: September 1, 2009Suggested CitationContact Information
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