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
Keyword assignment is an important step towards semantic enablement of the web. In this paper we describe a taxonomy called Agrotags which is designed for tagging agriculture documents. Agrotags is a subset of Agrovoc and is much smaller: about 2100 as against 40,000. Agrotags is manually created by carefully examining each of the Agrovoc terms for their utility in tagging. This selected subset is further refined and validated by looking at the manually assigned keywords from Agris databases. Further extending the usage of Agrotags emerges the concept of Agrotagger which is a system for automatically generating keywords for agricultural documents. Agrotagger has been built by moving the learning (what keyword to assign) from the example (document) level to the model level. Agrotagger being a pluggable module can act as an add-on to any repository.
Inappropriate format for Document type, expected simple value but got array, please use list format