Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics


Information Systems Technology and its Applications, 3rd International Conference ISTA'2004, June 15-17, 2004, Salt Lake City, Utah, USA P-48, 235-240 (2004).

GI, Gesellschaft für Informatik, Bonn
2004


Editors

Terry A. Halpin, Stephen W. Liddle, Heinrich C. Mayr Anatoly E. Doroshenko (eds.)


Copyright © GI, Gesellschaft für Informatik, Bonn

Contents

Query graph visualizer: A collaborative querying system

Lin Fu , Dion Hoe-Lian Goh , Schubert Shou-Boon Foo and Yohan Supangat

Abstract


Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to accomplish collaborative querying is to cluster related queries which are stored in query logs and use the related queries as recommendations to users. Here, the kernel step is to identify the similarity between queries. This paper describes a system that supports collaborative querying among its users. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph approach to visualize the query recommendations.


Full Text: PDF

GI, Gesellschaft für Informatik, Bonn
ISBN 3-88579-377-6


Last changed 24.01.2012 21:46:10