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Exploring Large Document Repositories with RDF Technology: The DOPE Project
May/June 2004 (vol. 19 no. 3)
pp. 34-40
Heiner Stuckenschmidt, Vrije Universiteit Amsterdam
Frank van Harmelen, Vrije Universiteit Amsterdam
Anita de Waard, Elsevier
Tony Scerri, Elsevier
Ravinder Bhogal, Elsevier
Jan van Buel, Elsevier
Ian Crowlesmith, Elsevier
Erik van Mulligen, Collexis and Erasmus University
This article presents the DOPE system for exploring large online resources in the area of drug research. It gives an overview of the system and explains the use of Semantic Web technology for providing thesaurus-based access to existing resources using automatic indexing, RDF-based querying, and concept-based visualization of results. The authors also report results of a user study on the system's benefits for information search and exploration. Their experiences and the feedback they received suggest that Semantic Web technology can support the exploration of large document repositories in a real-world setting. Concept-based information visualization is less suitable for searching specific information but provides good support for the exploration of mostly unknown data.
Index Terms:
information retrieval, thesauri, visualization, user studies
Heiner Stuckenschmidt, Frank van Harmelen, Anita de Waard, Tony Scerri, Ravinder Bhogal, Jan van Buel, Ian Crowlesmith, Christiaan Fluit, Arjohn Kampman, Jeen Broekstra, Erik van Mulligen, "Exploring Large Document Repositories with RDF Technology: The DOPE Project," IEEE Intelligent Systems, vol. 19, no. 3, pp. 34-40, May-June 2004, doi:10.1109/MIS.2004.9
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