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
This paper reports ongoing work on using an ontology as a mechanism to bridge various types of country-based information systems at the Food and Agriculture Organization (FAO) of the United Nations. The type of geopolitical information addressed by this work includes country international classifications, country names in the five FAO languages (Arabic, Chinese, English, French and Spanish), and other geographical information, such as the division of water bodies. Although the data required for the geopolitical ontology is already available, it is scattered across many information systems, which are often not clearly connected to one another. The expected advantage of using an ontology to achieve interoperability is that it can accommodate semantic relationships (between countries and geographical entities) that can be exploited for inference. Moreover, in virtue of the standardized semantic ally-oriented languages used to encode the ontology, it will provide a highly sharable and reusable resource for the international community. This paper describes the geopolitical information to manage, presents the requirements imposed on the ontology and gives details about the ontology prototype. Finally, it discusses design issues and draws some preliminary conclusions.
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