The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Knowledge representation and matching-reasoning are two key steps for a semantic knowledge management system. In order to realize the semantic management of vegetable supply chain knowledge, we put forward the vegetable supply chain knowledge Ontology model and formalize the model using RDF (Resource Description Framework) and advanced Voronoi diagram. We setup the qualitative reasoning rules based on the RDF formalized model and put forward the quantitative reasoning arithmetic based on the advanced Voronoi diagram formalized model. The experiments show the reasoning rules and arithmetic based on the formalized model could get rational results in vegetable supply chain knowledge management.
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