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dc.contributor.authorTran, Tuan Anh
dc.contributor.authorIsemann, Daniel
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:00Z
dc.date.available2017-08-28T23:47:00Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-669-5
dc.identifier.issn1617-5468
dc.description.abstractIn this paper we present an ontology for modelling creative influence between artists as documented as part of an international art exhibition on Dutch Golden Age genre painters titled Vermeer and the Masters of Genre Painting: Inspiration and Rivalry. The model, which describes influences on an artwork-to-artwork level, was developed in close cooperation with the curatorial advisory board of the exhibition and has guided the data gathering efforts in preparation for the exhibition. Our ontology extends the CIDOC Conceptual Reference Model (CRM) and has been influenced in its design by the CRM. It was implemented using the Erlangen CRM implementation and populated with an RDF graph containing over 900 instances of individual connections between works of art, referencing external Linked Open Data from Getty ULAN. The focus of this paper is on technical questions of knowledge modelling and implementation. The wider project context, the genesis of the domain expert conceptualizations and use cases for the ontology and RDF data are presented elsewhere in greater detail.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectArtistic influence/inspiration
dc.subjectOWL/RDF ontology
dc.subjectCIDOC Conceptual Reference Model
dc.subjectErlangen CRM
dc.subjectLinked Open Data (Getty ULAN)
dc.titleModelling creative influence between artists and their works with OWL and CIDOC CRMen
mci.reference.pages1197-1208
mci.conference.sessiontitleModellierung4DH − Modellierungsfragen in den Digitalen Geisteswissenschaften
mci.conference.locationChemnitz
mci.conference.date25.-29. September 2017
dc.identifier.doi10.18420/in2017_121


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