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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Title

The GOAL Approach A Goal-Oriented Algebraic Language

en
Abstract

In a global context of sharing information, such as Big Data and cloud computing paradigms, researchers are developing many means to deal with new data models and algorithms. However, the development and reuse of these ones is complex because of the heterogeneity of environments, data formats and contexts of use all around of the world. That's why a way to share and reuse algorithms and treatments through a common formalism is needed, for both machines and computers. The ultimate goal of our work is to provide a collaborative platform for not only experts but also machines automatically develop, reuse and chain treatments, computations and models. For this, we rely on a goal-oriented approach which is associated with the Semantic Web, to establish a common formalism to design models for worldwide researchers. In this article, we propose the formalization of our approach thanks to an algebra which is linked to the Semantic Web standards. Finally, we provide a high-level language dedicated to both computers and experts, illustrated with examples that are linked to the agriculture domain.

en
Year
2013
en
Country
  • FR
Organization
  • CNAM_Conserv_Natl_Arts_&_Metiers (FR)
Data keywords
  • ontology
  • semantic
  • big data
  • data model
en
Agriculture keywords
  • agriculture
en
Data topic
  • information systems
  • semantics
en
SO
ENASE: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING
Document type

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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.