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dc.contributor.authorBernardi, Ansgar
dc.date2013-11-01
dc.date.accessioned2018-01-08T09:16:52Z
dc.date.available2018-01-08T09:16:52Z
dc.date.issued2013
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11372
dc.description.abstractModern agriculture will profit in many aspects from information sharing and knowledge exchange, in particular involving public-private collaboration. As an enabling prerequisite, participants in agricultural production shall become members of a comprehensive communication network which relies on message exchange using universal data formats and online ontologies representing shared data models and vocabularies. The research project iGreen unites 23 partners from agricultural technology, application, and academia, and applies semantic technologies at the heart of specifications, reference implementations, and numerous service prototypes.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 27, No. 4
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectPublic-private knowledge management in agriculture
dc.subjectSemantic technologies
dc.titleiGreen—Intelligent Technologies for Public-Private Knowledge Management in Agriculture
dc.typeText/Journal Article
mci.reference.pages347-350
gi.identifier.doi10.1007/s13218-013-0272-1


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