Query graph visualizer: A visual collaborative querying system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collaborative querying harnesses the collective search experiences of users for query formulation. We present the Query Graph Visualizer (QGV), a visual collaborative querying system that recommends related queries to a user's submitted query through a network visualization scheme. Users are able to explore the query network and select queries for execution on an information retrieval (IR) system. The design of the QGV is discussed, focusing on its architecture and the implementation of the user interface. An evaluation of the QGV was also conducted to assess the performance of the system against to a conventional search engine. Results indicate that the evaluators who used the QGV completed their tasks much faster compared to those using a search engine alone. A usability evaluation also showed that the system complied with standard user interface heuristics.

Original languageEnglish
Title of host publication1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Pages78-83
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008 - Ostrava, Czech Republic
Duration: Aug 4 2008Aug 6 2008

Publication series

Name1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008

Conference

Conference1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Country/TerritoryCzech Republic
CityOstrava
Period8/4/088/6/08

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Information Systems
  • Software

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