A topic-based browser for large online resources

Heiner Stuckenschmidt, Anita De Waard, Ravinder Bhogal, Christiaan Fluit, Arjohn Kampman, Jan Van Buel, Erik Van Mulligen, Jeen Broekstra, Ian Crowlesmith, Prank Van Harmelen, Tony Scerri

Research output: Contribution to journalConference article

6 Scopus citations

Abstract

The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or ontologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information sets based on conceptual knowledge. We present a thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesaurus-based search and topic-based exploration of query results. We motivate the chosen exploration strategy the browser functionality, present the results of user studies and discuss future improvements of the browser.

Original languageEnglish
Pages (from-to)433-448
Number of pages16
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3257
DOIs
StatePublished - Dec 1 2004
Event14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web - Whittlebury Hall, United Kingdom
Duration: Oct 5 2004Oct 8 2004

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    Stuckenschmidt, H., De Waard, A., Bhogal, R., Fluit, C., Kampman, A., Van Buel, J., Van Mulligen, E., Broekstra, J., Crowlesmith, I., Van Harmelen, P., & Scerri, T. (2004). A topic-based browser for large online resources. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3257, 433-448. https://doi.org/10.1007/978-3-540-30202-5_29