Using Visual Representation for Decision Support in Institutional Research Evaluation

  • Anastasios Tsolakidis
  • Cleo Sgouropoulou
  • Effie Papageorgiou
  • Olivier Terraz
  • Georgios Miaoulis
Part of the Studies in Computational Intelligence book series (SCI, volume 441)

Abstract

Higher Education Institutes worldwide are facing an increased demand to strengthen their capacities for research and innovation. This study introduces an ontology-based software system architecture that supports research policy evaluation processes and decision-making strategies, using visual analytics. A knowledge modeling technique drawing on multi criteria analysis and data visualisation is proposed. In addition, the paper presents a prototype built on Protegé, Pellet reasoner and Java Technologies, which is friendly to the user and capable of interactive synthesis of institutional decision support criteria. In this work we make a transition from knowledge to visual web-based decision support systems with different kinds of visualisations. The developed system enables research managers to evaluate key aspects of academic research activity in the context of specific policies and criteria, correlate strategic goals with research performance and make informed decisions on the establishment of research strategies.

Keywords

decision support system university research visual support system evaluation data visualization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Anastasios Tsolakidis
    • 1
    • 2
  • Cleo Sgouropoulou
    • 2
  • Effie Papageorgiou
    • 2
  • Olivier Terraz
    • 1
  • Georgios Miaoulis
    • 1
    • 2
  1. 1.Laboratoire XLIM, CNRS, UMR 6172Université de LimogesLimogesFrance
  2. 2.Technological Education Institute of AthensEgaleoGreece

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