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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Knowledge Services Innovation: When Language Engineering Marries Knowledge Engineering


With the development of the World Wide Web and mobile devices, an enormous amount of explicit knowledge resources, distributed over multiple websites, can be accessed anywhere and anytime. However, to access this scattered knowledge, in unstructured text format, consumes a great deal of time and processing power, since the semantic relations among such resources are not directly stated and the content is not yet compiled into a meaningful context for effective action. Accordingly, instead of enhancing knowledge accessibility only, the challenge is how to provide a knowledge service that satisfies individual demands in actions and a timely manner. This paper focuses on developing a framework for handling knowledge extraction and integration across websites, using the agriculture domain as a case study, in order to provide more functional knowledge services to the end-user at the right time and in the right context. By merging two technologies, i.e., Knowledge Engineering and Language Engineering, a knowledge base can be constructed from unstructured text to enable the efficient and effective accessing and exploitation of knowledge. Usually, measurements for the success of knowledge service implementation are correctness of knowledge construction. However, this project aims to provide farmer service innovations with a functional knowledge according to crop calendar. Through the measurement of such operations, the farmer will gain maximum income while maximizing yields and minimizing costs through disease control and tailor-made fertilizing. Thus, the key performance indexes of knowledge service system, then, are benefit realization of the service consumer instead of service system correctness only.

  • TH
  • Kasetsart_Univ (TH)
Data keywords
  • knowledge
  • ontology
  • knowledge based
  • knowledge engineering
  • semantic
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • knowledge transfer
  • 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.