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
With the development and popularization of Internet, The research focuses on how to get the requirement quickly and exactly from a large number of information. Using ontology provides a new intelligent searching method based on Web. In this paper, According to ontology theory of agriculture's characters and combining with the major of soil and agricultural chemistry, the retrieval system took the soil knowledge system as example, took native XML(eXtensible Markup Language)Database--Tamino as information navigation database. According the demands input by users, this system will display related information by tree and understand user's demands through clicks, primarily realize Web's intellective searching. This article still introduces the design and implement process of the intellective retrieval system, XML and JSP(Java Server Pages) technology in detail. The system application can be spread for other shared information resources retrieval, providing efficient and relevant services for users.
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