Performance Model’s development: A Novel Approach encompassing Ontology-Based Data Access and Visual Analytics

Marco Angelini (), Cinzia Daraio (), Maurizio Lenzerini (), Francesco Leotta () and Giuseppe Santucci ()
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Marco Angelini: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Cinzia Daraio: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Maurizio Lenzerini: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Francesco Leotta: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Giuseppe Santucci: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy

No 2019-11, DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"

Abstract: The quantitative evaluation of research is currently carried out by means of indicators calculated on data extracted and integrated by analysts who elaborate them by creating illustrative tables and plots of results. In this paper we propose a new approach which is able to move forward, from indicators’ development to performance model’s development. It combines the advantages of the Ontology-based data Access (OBDA) integration with the flexibility and robustness of a Visual Analytics (VA) environment. A detailed description of such an approach is presented in the paper. The approach is evaluated trough a comprehensive user's study that proves the added capabilities and the benefits that an analyst of performance models can have by using this approach.

Keywords: Education and research; performance assessment; performance modelling; ontology-based data access : visual analytics (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-eff
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Citations: View citations in EconPapers (1)

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