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
ETKnet: A Distributed Network System for Sharing Event Data and Multi-faceted Knowledge in a Collaboration Federation
This chapter presents a distributed event-triggered knowledge network (ETKnet) developed for use by government organizations to share not only data and application operations but also knowledge embedded in organizational and inter-organizational policies, regulations, data, and security constraints as well as collaborative processes and operating procedures. A unified knowledge and process specification language has been developed to formally specify multi-faceted human and organizational knowledge in terms of three types of knowledge rules and rule structures. A user-friendly interface is provided for collaborating organizations to define events of interest as well as automated and manual operations, operation structures, knowledge rules, rule structures, and triggers. Through this interface, these organizations can also perform task management, administrative management. configuration management, and ontology management. Events are published in a global registry for browsing, querying, event subscription, and notification. Rules and rule structures are automatically translated into Web services for discovery and distributed processing in ETKnet. Event data are dots that can be connected dynamically across organizational boundaries through the interoperation of knowledge rules and processes.
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