Künstliche Intelligenz 27(4) - November 2013

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Zeitschriftenartikel
iGreen—Intelligent Technologies for Public-Private Knowledge Management in Agriculture
(KI - Künstliche Intelligenz: Vol. 27, No. 4, 2013) Bernardi, Ansgar
Modern 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.
Zeitschriftenartikel
Ontology-Based Mobile Communication in Agriculture
(KI - Künstliche Intelligenz: Vol. 27, No. 4, 2013) Grimnes, Gunnar Aastrand; Kiesel, Malte; Bernardi, Ansgar
This paper describes the use of semantic technologies to enable a public/private communication network in the iGreen project. The motivation for using semantic technologies is outlined, and a description of the iGreen ontology-server is given, and the services this provides to users and developers. We discuss the semantic data-sets published in iGreen and the steps taken to enrich and interlink these.