Concept Detection

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KÖTTER, Tobias, Michael BERTHOLD, 2010. Concept Detection. ECAP 10. TU München, 4. Okt 2010 - 6. Okt 2010. In: MAINZER, Klaus, ed.. ECAP 10 : VIII European Conference on Computing and Philosophy ; 4 - 6 October, 2010, TU München. ECAP 10. TU München, 4. Okt 2010 - 6. Okt 2010. München:Dr. Hut, pp. 163-168

@inproceedings{Kotter2010Conce-12850, title={Concept Detection}, year={2010}, address={München}, publisher={Dr. Hut}, booktitle={ECAP 10 : VIII European Conference on Computing and Philosophy ; 4 - 6 October, 2010, TU München}, pages={163--168}, editor={Mainzer, Klaus}, author={Kötter, Tobias and Berthold, Michael} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/12850"> <dcterms:title>Concept Detection</dcterms:title> <dcterms:issued>2010</dcterms:issued> <dc:creator>Kötter, Tobias</dc:creator> <dc:contributor>Berthold, Michael</dc:contributor> <dc:creator>Berthold, Michael</dc:creator> <dc:contributor>Kötter, Tobias</dc:contributor> <dc:language>eng</dc:language> <dc:rights>deposit-license</dc:rights> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/12850"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-10-18T08:51:42Z</dcterms:available> <dcterms:bibliographicCitation>Publ. in: ECAP 10 : VIII European Conference on Computing and Philosophy ; 4 - 6 October, 2010, TU München / [general ed.: Klaus Mainzer]. München : Dr. Hut, 2010, pp. 163-168</dcterms:bibliographicCitation> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-10-18T08:51:42Z</dc:date> <dcterms:abstract xml:lang="eng">In this paper we outline an approach to detect concepts and relations among concepts from heterogeneous domains in order to support the creative thinking. This is achieved by integrating units of information and their relations from heterogeneous data sources into a unifying model, represented through a network and analyzing the resulting network structure. We discuss the extraction of semantical meaningful concepts and aspects, that describe the concepts, based on the relations of the integrated units of information. This semantical information can be used to create a high level view of the resulting network and the discovery of domain crossing concepts ultimately triggers new insights.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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