Exploring large document repositories with RDF technology: the DOPE project

Author

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

Author_Institution

Vrije Univ., Amsterdam, Netherlands

Volume

19

Issue

3

fYear

2004

Firstpage

34

Lastpage

40

Abstract

This thesaurus-based search system uses automatic indexing, RDF-based querying, and concept-based visualization of results to support exploration of large online document repositories. Innovative research institutes rely on the availability of complete and accurate information about new research and development. Information providers such as Elsevier make it their business to provide the required information in a cost-effective way. The semantic Web will likely contribute significantly to this effort because it facilitates access to an unprecedented quantity of data. The DOPE project (Drug Ontology Project for Elsevier) explores ways to provide access to multiple life-science information sources through a single interface.

Keywords

document handling; indexing; query processing; semantic Web; thesauri; DOPE project; Drug Ontology Project for Elsevier; RDF-based querying; automatic indexing; concept-based visualization; data access; document handling; information source; online document repository; semantic Web; thesauri; Data visualization; Drugs; Machine assisted indexing; Ontologies; Research and development; Resource description framework; Semantic Web; Terminology; Thesauri; Vocabulary; information retrieval; thesauri; user studies; visualization;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2004.9

Filename

1315539