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

Schema Integration Based Merging and Matching Algorithm for Agricultural HDDBs

en
Abstract

In any combination of database, a common agreement of the underlying instances concerned to a schema attribute may exist. A distributed database may therefore contain different schemas of same data attributes or different attributes classified from the same population. In this paper, we propose a common schema integration approach to integrating different autonomous agricultural databases of biorefining field of Miscanthus plants. We adopt a model, which is basically relational to some object-oriented properties. We describe methodologies to integrate heterogeneous distributed databases by using this model and show how attribute conflicts and missing attributes can be resolved. We also describe how a query on integrated global schema is managed in heterogeneous agricultural distributed database environment. We give a formal definition and perform extensive experiments to make this integration process strong enough.

en
Year
2015
en
Country
  • IN
Organization
  • Indian_Inst_Technol_Dhanbad (IN)
Data keywords
  • data model
  • agricultural database
en
Agriculture keywords
  • agriculture
en
Data topic
  • information systems
  • modeling
en
SO
ARABIAN JOURNAL FOR SCIENCE AND 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.