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 language | English |
|---|---|
| Pages (from-to) | 433-448 |
| Number of pages | 16 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3257 |
| State | Published - Dec 1 2004 |
| Event | 14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web - Whittlebury Hall, United Kingdom Duration: Oct 5 2004 → Oct 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.