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
People need contextualized information and knowledge to make better decisions. In case of farmers, the information that they require is available through agricultural websites, agriculture department leaflets and mass media. However, available information and knowledge are general, incomplete, heterogeneous, and unstructured. Since the farmers need the information and knowledge within their own context and need to represent information in complete and structured manner we developed a farmer centered ontology in the domain of agriculture. Because of the data complexity of the relationships among various concepts, to attenuate the incompleteness of the data, and also to add semantics and background knowledge about the domain we have selected a logic based ontological approach to create our knowledge repository. In this study, we have investigated how to model the actual representation of the domain and its challenges. The internal evaluation has been done to test the usefulness of the ontology during the design process. We have developed the online knowledge base that can be queried based on the farmer context.
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