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Improving an Environmental Ontology by Incorporating User-Input

dc.contributor.authorBauer-Messmer, Bettina
dc.contributor.authorScharrenbach, Thomas
dc.contributor.authorGrütter, Rolf
dc.contributor.editorMoeller, Andreas
dc.contributor.editorPage, Bernd
dc.contributor.editorSchreiber, Martin
dc.date.accessioned2019-09-16T03:16:12Z
dc.date.available2019-09-16T03:16:12Z
dc.date.issued2008
dc.description.abstractOntologies supporting open and intuitive search in heterogeneous databases have been studied by various research groups for several years. A crucial factor for success in the use of ontologies is the adjustment of the conceptualization represented in the data to the conceptualizations of the individual users. The generation of a high-quality ontology is very cost intensive. The ontological opening up of the data content is straightforward, whereas the conceptualizations of the users are rather difficult to grasp. We present a novel approach for reinforcement ontology learning integrating user-input. The knowledge base consists of expert ontologies modeled beforehand by experts and userinput will be used to create an user ontology. This paper presents the concept of how to incorporate user-input into existing ontologies.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol119/0559.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26403
dc.publisherShaker Verlag
dc.relation.ispartofEnvironmental Informatics and Industrial Ecology
dc.relation.ispartofseriesEnviroInfo
dc.titleImproving an Environmental Ontology by Incorporating User-Inputde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2008
gi.conference.locationLüneburg
gi.conference.sessiontitleTools and Databases

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