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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The Design of Cattle Disease Forecast System Using Ontology


From November 2010 to April 2011, our country declared a state of national disaster, which was an upgrade from the serious warning that was released because of foot-and-mouth cattle disease outbreak. The number of breeding cattle was 3,344, which was a 5.7% increase from that in the previous year. Therefore, it was imperative to respond immediately and alter the situation through frequent clinical observations and monitoring to block disease progression by quick forecasting prior to outbreak, rather than employing extreme preventive methods such as destruction of livestock after the outbreak. In this study, ontology is used to express standardized status information on cattle disease, define the relationships of status information by using standardized ontology language, Web Ontology Language (OWL), and execute efficient and intelligent cattle disease forecasting services by deducing cattle disease using Semantic Web Rule Language (SWRL).

  • KR
  • Wonkwang_Univ (KR)
Data keywords
  • ontology
  • semantic
  • OWL
Agriculture keywords
  • cattle
  • livestock
Data topic
  • modeling
  • semantics
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.