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
Generation of semantically meaningful ontology of Indian languages based terms, concepts, and their relations specially when talking about Hindi language, becomes a tedious task to approach without any disambiguation, where in a single change of relation, specific individual sub-node of ontology changes. This paper presents an approach for semi-automatic conversion of agricultural Hindi terms, concepts and their relations into structured ontology and processes into subsequent RDFization. Structured format uses its powerful mechanism of inheritance and reasoning capability to inference learning feature of loosely coupled and high bonding between nodes. This increases reusability, enhances data sharing on the web and graphically connected, making data machine readable and interoperable and so on. Hence, linking data which of machine readable format may prove to be of great significance specifically where information and data is highly sharable. This paper explores and collects some unstructured terms, concepts, relations of agriculture domain using IndoWordNet and generates ontology which finally gets converted into RDF/OWL format meeting with accordance of W3C standards.
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