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
The aim of this paper is to present the concept of project risk assessment using the DeTreex inductive knowledge acquisition system, based on decision tree induction introduced by Quinlan. The proposed approach can constitute the basis for building an expert system dedicated to the process of risk assessment of projects carried out in production and service enterprises, as well as in an entire supply chain. Hypothetically, it is assumed that gathered and structured expert knowledge of the relations between risk probability, risk impact on project activities and the risk level of each of these may facilitate the elaboration of effective rules for the knowledge base.
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