Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

Property	Value
dcterms:bibliographicCitation	<http://dblp.uni-trier.de/rec/bibtex/conf/aime/MilianAVTH09>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Annette_ten_Teije>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Frank_van_Harmelen>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Krystyna_Milian>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Richard_Vdovjak>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Zharko_Aleksovski>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2F978-3-642-11808-1%5F5>
foaf:homepage	<https://doi.org/10.1007/978-3-642-11808-1_5>
dc:identifier	DBLP conf/aime/MilianAVTH09 (xsd:string)
dc:identifier	DOI doi.org%2F10.1007%2F978-3-642-11808-1%5F5 (xsd:string)
dcterms:issued	2009 (xsd:gYear)
rdfs:label	Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Annette_ten_Teije>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Frank_van_Harmelen>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Krystyna_Milian>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Richard_Vdovjak>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Zharko_Aleksovski>
swrc:pages	50-63 (xsd:string)
dcterms:partOf	<https://dblp.l3s.de/d2r/resource/publications/conf/aime/2009k>
owl:sameAs	<http://bibsonomy.org/uri/bibtexkey/conf/aime/MilianAVTH09/dblp>
owl:sameAs	<http://dblp.rkbexplorer.com/id/conf/aime/MilianAVTH09>
rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/aime/k4care2009.html#MilianAVTH09>
rdfs:seeAlso	<https://doi.org/10.1007/978-3-642-11808-1_5>
swrc:series	<https://dblp.l3s.de/d2r/resource/conferences/aime>
dc:title	Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000. (xsd:string)
dc:type	<http://purl.org/dc/dcmitype/Text>
rdf:type	swrc:InProceedings
rdf:type	foaf:Document