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 paper, an ontology-based system for the agricultural FA Q retrieval was presented. A small pool of candidate question-answering pairs and sentence similarity were obtained using ontology-based automatic classification. The best performance was got based on splitted vector space model and semantic concept. The experiment was made to test the effect of the system. The satisfying results were obtained which proved that the system could effectively improve the performance of the agricultural domain FAQ retrieval system comparing with the baseline Keyword FAQ system.
Inappropriate format for Document type, expected simple value but got array, please use list format