e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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Domain Specific Categories and Relations and their Potential Applications: A Case Study of Two Arrays of Agriculture Schedule of Colon Classification


The categories/isolates are broadly conceived as common and special. The common categories are applicable to all the classes of subjects in a Classification system, whereas the specials are applicable within a domain or specified classes of a classification system. The CC has represented some unique special categories, especially in the Agriculture Subject schedule, and such a provision is not seen in any other classification system; not even in any other subject schedule of Colon Classification. These special categories are termed here as "Domain Specific Categories". The paper analyses the thematic relationships within and outside the subject schedule with potential applications in devising a scheme of metadata as demonstrated in a research study on Indian Medicinal Plants. The other potential applications of such thematic relationships are in the creation of semantic maps and in linking concepts from different domains of knowledge.

  • IN
  • Bangalore_Univ (IN)
Data keywords
  • knowledge
  • semantic
Agriculture keywords
  • agriculture
Data topic
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.