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
An Ontology once developed needs to be kept up-to-date preferably as a collaborative process which will require web based tools. We have developed a large user centered ontology for Sri Lankan agriculture domain to represent agricultural information and relevant knowledge that can be queried in user context. We have generalized our design approach. In doing so we have identified various processes that are required to manage an ontology as a collaborative process. Based on these processes we developed an ontology management system to manage the ontology life cycle. The main processes such as modify, extend and prune the ontology components as required are included. It also has facilities to capture users' information needs in context for modifications, search domain information, reuse and share the ontological knowledge. This is a semi-automatic ontology management system that helps to develop and manage complex real-world applications based ontologies collaboratively.
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