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.

Performance Model’s development: A novel approach encompassing ontology-based data access and visual analytics / Angelini, Marco; Daraio, Cinzia; Lenzerini, Maurizio; Leotta, Francesco; Santucci, Giuseppe. - 2:(2019), pp. 1912-1923. (Intervento presentato al convegno 17th International Conference on Scientometrics and Informetrics, ISSI 2019 tenutosi a Roma; Italy).

Performance Model’s development: A novel approach encompassing ontology-based data access and visual analytics

Angelini Marco
Conceptualization
;
Daraio Cinzia
Conceptualization
;
Lenzerini Maurizio
Conceptualization
;
Leotta Francesco
Conceptualization
;
Santucci Giuseppe
2019

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.
2019
17th International Conference on Scientometrics and Informetrics, ISSI 2019
Ontology; Semantics; Access OBDA
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Performance Model’s development: A novel approach encompassing ontology-based data access and visual analytics / Angelini, Marco; Daraio, Cinzia; Lenzerini, Maurizio; Leotta, Francesco; Santucci, Giuseppe. - 2:(2019), pp. 1912-1923. (Intervento presentato al convegno 17th International Conference on Scientometrics and Informetrics, ISSI 2019 tenutosi a Roma; Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1331774
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