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.
Description
Welcome to IEEE Xplore 2.0: Exploring large document repositories with RDF technology: the DOPE project
%0 Journal Article
%1 1315539
%A Stuckenschmidt, H.
%A van Harmelen, F.
%A de Waard, A.
%A Scerri, T.
%A Bhogal, R.
%A van Buel, J.
%A Crowlesmith, I.
%A Fluit, C.
%A Kampman, A.
%A Broekstra, J.
%A van Mulligen, E.
%D 2004
%J Intelligent Systems, IEEE
%K diplomarbeit ontologies
%N 3
%P 34-40
%R 10.1109/MIS.2004.9
%T Exploring large document repositories with RDF technology: the DOPE project
%V 19
%X 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.
@article{1315539,
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.},
added-at = {2009-03-01T18:03:39.000+0100},
author = {Stuckenschmidt, H. and van Harmelen, F. and de Waard, A. and Scerri, T. and Bhogal, R. and van Buel, J. and Crowlesmith, I. and Fluit, C. and Kampman, A. and Broekstra, J. and van Mulligen, E.},
biburl = {https://www.bibsonomy.org/bibtex/2b3109f0aa61cde43197492e2819a51df/dominikb1888},
description = {Welcome to IEEE Xplore 2.0: Exploring large document repositories with RDF technology: the DOPE project},
doi = {10.1109/MIS.2004.9},
interhash = {cdb3bed5fd6178c3ee2d2ebde597abc9},
intrahash = {b3109f0aa61cde43197492e2819a51df},
issn = {1541-1672},
journal = {Intelligent Systems, IEEE},
keywords = {diplomarbeit ontologies},
month = {May-Jun},
number = 3,
pages = { 34-40},
timestamp = {2010-12-09T12:52:02.000+0100},
title = {Exploring large document repositories with RDF technology: the DOPE project},
volume = 19,
year = 2004
}