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 Study on the Organization Approach of Agricultural Model Components Library Based on Topic Map
The definition and representation on the model base's descriptions are the basis of reuse, integration and management of heterogeneous model resources. The study proposed the organization method of the agriculture model components based on topic maps. On the basis of the meta-modeling techniques and the topic map techniques, the study comprehensively analyzed the agricultural model characteristics, extracted the model component facets and its associated descriptions, and established the agricultural model component library's description model (DM-AMCL). Then, it hierarchically mapped and annotated the model component semantic and syntactic information by using the topic map. We designed the organization framework of the agriculture model components library on topic maps (TM-AMCL). For example of wheat development model, the XTM document instance is build. The result shows that, converting the agriculture models base to TM-AMCL can provide a unified descriptions and access to data for the intelligent decision_support system developers, the managers of agriculture model and the computer system.
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