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

An Ontology Crystallization Approach to Designing Performance-Based Testing Scenario

en
Abstract

The design of Performance-Based Testing is an interesting and important issue for the assessment of the students' problem solving or inquiry process capabilities. In this paper, we aim to design a wild-like authoring environment based upon the performance Assessment Ontology to support the Collaborative design. However, the ontology inconsistency and incompleteness issues become more serious When constructing the ontology collaboratively. Therefore, the Ontology Crystallization scheme is proposed to support the scenario design with collaborative brainstorming and social agreement evaluation. There are three phases which arc concept boundary extension phase, ontology integration phase. and conflict resolution phase. The collaborative brainstorming is based on the sharing of designed ontology, and the conflict resolution is based on the modified Delphi Method with questionnaire based voting. To demonstrate our scheme, it is applied to the designing of the "Banana Farm" assessment scenario. Finally, the experiment and evaluation shows the effectiveness of the designed result.

en
Year
2008
en
Country
  • TW
Organization
  • Natl_Chiao_Tung_Univ_NCTU (TW)
Data keywords
  • ontology
en
Agriculture keywords
  • farm
en
Data topic
  • semantics
en
SO
OPEN KNOWLEDGE SOCIETY: A COMPUTER SCIENCE AND INFORMATION SYSTEMS MANIFESTO
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.