Intelligent resource discovery using ontology-based resource profiles

Hughes, J. Steven; Crichton, Dan; Kelly, Sean; Crichton, Jerry; Tran, Thuy

dc.contributor.author	Hughes, J. Steven
dc.contributor.author	Crichton, Dan
dc.contributor.author	Kelly, Sean
dc.contributor.author	Crichton, Jerry
dc.contributor.author	Tran, Thuy
dc.date.accessioned	2005-11-11T23:12:26Z
dc.date.available	2005-11-11T23:12:26Z
dc.date.issued	2004-11
dc.identifier.citation	19th International CODATA Conference, Berlin, Germany, November 7-10, 2004	en
dc.identifier.clearanceno	04-3169
dc.identifier.uri	http://hdl.handle.net/2014/38074
dc.description.abstract	Successful resource discovery across heterogeneous repositories is strongly dependent on the semantic and syntactic homogeneity of the associated resource descriptions. Ideally, resource descriptions are easily extracted from pre-existing standardized sources, expressed using standard syntactic and semantic structures, and managed and accessed within a distributed, flexible, and scaleable software framework.	en
dc.description.sponsorship	NASA	en
dc.format.extent	730846 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_US	en
dc.publisher	Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004..	en
dc.subject	XML	en
dc.subject	resource discovery	en
dc.subject	ontology	en
dc.subject	framework	en
dc.title	Intelligent resource discovery using ontology-based resource profiles	en
dc.type	Preprint	en