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
In the agricultural domain, the variety of data used by organizations is increasing rapidly. Also, there is an increasing demand for accessing these data. Now, the problem of the digital divide causes serious problems in manipulating the distributed information. Based on this condition, this paper presents the intelligent retrieval architecture of distributional agriculture science and technology data which focuses on research of the integration support technology, the concept extending retrial technology based on agricultural ontology and the personalization retrieval technique based on the user model. In the experiment, the intelligent data application platform provided by the paper proves that the architecture is effective.
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