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 Integration of Distributed Enterprises using Cloud based Big Data Analytics


an efficient and adaptive centralization of disparate knowledge sources is a key factor for the success of knowledge management systems (KMS) in distributed heterogeneous enterprises such as healthcare and production systems with large scale and disparate knowledge sources. Professional end users of such systems (e.g. physicians and production engineers) should have nearly real-time access to the records to provide relevant decisions without any difficulty of dealing with IT systems. Analysis and reasoning of professional end users' feedback lead helpful knowledge bases which can be used for future decision making situations such as diagnostics and predictions. This paper represents an overview of the cloud computing based conceptual framework for the integration of distributed knowledge sources in large scale heterogeneous enterprises such as grouped hospitals, clinic chains, production systems, supply chains and etc. The NoSQL database is used for providing a scalable data analytics. This framework facilitates accessible, efficient and always available knowledge bases for collaborative systems and reduces redundancy and costs by sharing the knowledge between individuals and experts. Three different application scenarios will be used to test and evaluate the efficiency of the proposed framework. Distributed product design and development, healthcare knowledge integration and providing readability in drug leaflets are target application domains of this research.

  • DE
  • Univ_Siegen (DE)
Data keywords
  • knowledge
  • big data
  • cloud based
  • reasoning
  • noSQL
Agriculture keywords
  • supply chain
Data topic
  • big data
  • information systems
  • 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.