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Exploring Large Document Repositories with RDF Technology: The DOPE Project
May/June 2004 (vol. 19 no. 3)
pp. 34-40
ASCII Text
x 
 
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.
 
 
BibTex
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@article{ 10.1109/MIS.2004.9,
author = {Heiner Stuckenschmidt and Frank van Harmelen and Anita de Waard and Tony Scerri and Ravinder Bhogal and Jan van Buel and Ian Crowlesmith and Christiaan Fluit and Arjohn Kampman and Jeen Broekstra and Erik van Mulligen},
title = {Exploring Large Document Repositories with RDF Technology: The DOPE Project},
journal ={IEEE Intelligent Systems},
volume = {19},
number = {3},
issn = {1541-1672},
year = {2004},
pages = {34-40},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2004.9},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Exploring Large Document Repositories with RDF Technology: The DOPE Project
IS - 3
SN - 1541-1672
SP34
EP40
EPD - 34-40
A1 - Heiner Stuckenschmidt,
A1 - Frank van Harmelen,
A1 - Anita de Waard,
A1 - Tony Scerri,
A1 - Ravinder Bhogal,
A1 - Jan van Buel,
A1 - Ian Crowlesmith,
A1 - Christiaan Fluit,
A1 - Arjohn Kampman,
A1 - Jeen Broekstra,
A1 - Erik van Mulligen,
PY - 2004
KW - information retrieval
KW - thesauri
KW - visualization
KW - user studies
VL - 19
JA - IEEE Intelligent Systems
ER -
 
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
Citation:
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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