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
Standard representation of manufacturing capability information is a necessity for efficient configuration of loosely-coupled supply chains. ManuTerms is a formal thesaurus that provides a set of standard vocabulary that can be used for description of manufacturing capabilities. In this paper, a method is proposed for supplier characterization and classification guided by ManuTerms. The tools developed in this work use the capability narrative of manufacturing suppliers as the input and extract key concepts that refer to certain aspects of manufacturing capabilities in order to characterize and classify manufacturing suppliers. Through an experimental study, the supplier classification method was validated with respect to the level of agreement with human judgment.
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