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 is an important resource to keep competitive advantage of enterprise. But traditional knowledge discovery system (KDS) is inefficient and its knowledge base is hard to maintain. Therefore this paper presents a new framework of KDS based on Double-base Cooperating Mechanism (DCM), in which database can be restricted and driven by knowledge base whose structure can be in turn improved by database. At the same time, the precision and auto-cognition of knowledge discovery can be improved and knowledge base is equipped with the capacity of real time maintenance. At last the framework is applied to knowledge agriculture to illuminate its effectiveness.
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