Query Driven Conceptual Browsing: A Semi-Automated Approach for Building and Exploring Concepts on the Web

6 Pages Posted: 27 Feb 2006 Last revised: 1 Sep 2009

Kinshuk Jerath

Columbia University - Columbia Business School

Balaji Padmanabhan

University of South Florida - College of Business Administration

Date Written: December 2005

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.

Suggested Citation

Jerath, Kinshuk and Padmanabhan, Balaji, Query Driven Conceptual Browsing: A Semi-Automated Approach for Building and Exploring Concepts on the Web (December 2005). 15th Annual Workshop on Information Technolgies & Systems (WITS) Paper. Available at SSRN: https://ssrn.com/abstract=886948 or http://dx.doi.org/10.2139/ssrn.886948

Kinshuk Jerath (Contact Author)

Columbia University - Columbia Business School ( email )

3022 Broadway
New York, NY 10027
United States

Balaji Padmanabhan

University of South Florida - College of Business Administration ( email )

4202 E. Fowler Avenue, BSN 3403
Tampa, FL 33620-5500
United States

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