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
This paper proposed a new method to acquire vegetable supply chain domain knowledge from three semantic extension layers. For a single domain concept, qualitative reasoning and quantitative reasoning are used to reach the first semantic extension layer; for more than two domain concepts, Advanced Similarity Measure (ASM) arithmetic is adopted to reach the second semantic extension layer. These two semantic extension layers are achieved internal of vegetable supply chain ontology model. WordNet and Locally Linear Embedding (LLE) arithmetic are adopted to reach the third semantic extension layer, which is achieved external of the ontology model. The experiments have proven the efficiency of this method. The method can be expanded to domain concepts acquisition of other fields.
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