iGreen—Intelligent Technologies for Public-Private Knowledge Management in Agriculture
| dc.contributor.author | Bernardi, Ansgar | |
| dc.date.accessioned | 2018-01-08T09:16:52Z | |
| dc.date.available | 2018-01-08T09:16:52Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | 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. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11372 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 27, No. 4 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Public-private knowledge management in agriculture | |
| dc.subject | Semantic technologies | |
| dc.title | iGreen—Intelligent Technologies for Public-Private Knowledge Management in Agriculture | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 350 | |
| gi.citation.startPage | 347 |