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 this chapter we attempt to cover the major contributions in the semantic approach to business process integration. We ought to present our perspectives and vision about how to carry out semantic support for business process integration and a set of recommendations based on the major contributions of frameworks, methodologies, procedures and tools, considering open issues as well as challenges in this field; providing some insight into the semantic shifting of Business Process Management (BPM), the current work and future research trends on the topic. There is also presented a proposal for a framework design that combines the semantic supported modeling with the orchestration of integration processes in the Supply Chain Management (SCM) context.
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