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
We present an ontology called Science designed for representing scientific laws and rejected hypotheses from scientific papers and experimental results in the area of beef production and consumption. The ontology is designed on the basis of 1) classifications of scientific laws presented in the works of Polish philosophers of science and nature: K. Ajdukiewicz and W. Krajewski and 2) the analysis of empirical material from the project database of articles. Science imports Onto-Beef ontology of the subject domain. Both ontologies, i. e. Science and OntoBeef, are based on DOLCE. It is shown how to represent scientific laws in the ontologies and how to generate new scientific laws from the old ones coded in the Science.
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