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 traditional Web information integration systems, answers are provided as a large relevant information entity set stratifying a user' question, which make a user to browsing the set for the final answer that may not exits. Deeper information integration, called knowledge fusion (KF), which provides a more integrated answer, involves not only delivering the answer information available via the links to user, but also analyzing, and merging the information results coming from agricultural information sources by solving the result consistencies, removing duplicates, etc based on agricultural domain ontology. In the paper, we give a detail about the knowledge fusion Method, and a KF-based information access interface. Many experiments prove that the method is effective.
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