Exploring large document repositories with RDF technology: the DOPE project
Exploring large document repositories with RDF technology: the DOPE project
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DOI：
10.1109/mis.2004.9
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发表时间：
2004-05
影响因子：
6.4
通讯作者：
H. Stuckenschmidt;F. V. Harmelen;A. Waard;Tony Scerri;Ravinder S. Bhogal;Jan van Buel;I. Crowlesmith;Christiaan Fluit;A. Kampman;J. Broekstra;E. V. Mulligen
中科院分区：
文献类型：
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作者：
H. Stuckenschmidt;F. V. Harmelen;A. Waard;Tony Scerri;Ravinder S. Bhogal;Jan van Buel;I. Crowlesmith;Christiaan Fluit;A. Kampman;J. Broekstra;E. V. Mulligen
这个基于同义词库的搜索系统使用自动索引、基于 RDF 的查询和基于概念的结果可视化来支持大型在线文档存储库的探索。创新研究机构依赖于有关新研发的完整而准确的信息。爱思唯尔等信息提供商以经济高效的方式提供所需信息为己任。语义网可能会为这项工作做出重大贡献，因为它有助于访问前所未有的数据量。 DOPE 项目（爱思唯尔药物本体项目）探索通过单一界面访问多个生命科学信息源的方法。
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.