This paper proposes an Ontology-Based Data Management (OBDM) approach to a multi-dimensional research assessment. It is shown that an OBDM approach is able to take into account the recent trends in quantitative studies of Science, Technology and Innovation, including computerization of bibliometrics, multidimensionality of research assessment, altmetrics, and, more generally, the generation of new indicators with higher granularity and cross-referencing specificities according to increasingly demanding policy needs. The main features of Sapientia are presented, the Ontology of Multi-dimensional Research Assessment, developed within a project funded by the University of Rome La Sapienza. Illustrative examples are given of its usefulness for the specification of well known as well as recently developed indicators of research assessment.

Sapientia: The ontology of multi-dimensional research assessment / Daraio, Cinzia; Lenzerini, Maurizio; Leporelli, Claudio; Moed, Henk F.; Naggar, Paolo; Bonaccorsi, Andrea; Bartolucci, Alessandro. - (2015), pp. 965-977. (Intervento presentato al convegno 15th International Society of Scientometrics and Informetrics Conference, ISSI 2015 tenutosi a Bogacizi UniversityIstanbul; Turkey nel 2015).

Sapientia: The ontology of multi-dimensional research assessment

DARAIO, CINZIA
;
LENZERINI, Maurizio;LEPORELLI, CLAUDIO;NAGGAR, PAOLO;BARTOLUCCI, ALESSANDRO
2015

Abstract

This paper proposes an Ontology-Based Data Management (OBDM) approach to a multi-dimensional research assessment. It is shown that an OBDM approach is able to take into account the recent trends in quantitative studies of Science, Technology and Innovation, including computerization of bibliometrics, multidimensionality of research assessment, altmetrics, and, more generally, the generation of new indicators with higher granularity and cross-referencing specificities according to increasingly demanding policy needs. The main features of Sapientia are presented, the Ontology of Multi-dimensional Research Assessment, developed within a project funded by the University of Rome La Sapienza. Illustrative examples are given of its usefulness for the specification of well known as well as recently developed indicators of research assessment.
2015
15th International Society of Scientometrics and Informetrics Conference, ISSI 2015
Statistics and Probability; Applied Mathematics; Modeling and Simulation; Computer Science Applications1707 Computer Vision and Pattern Recognition; Management Science and Operations Research
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Sapientia: The ontology of multi-dimensional research assessment / Daraio, Cinzia; Lenzerini, Maurizio; Leporelli, Claudio; Moed, Henk F.; Naggar, Paolo; Bonaccorsi, Andrea; Bartolucci, Alessandro. - (2015), pp. 965-977. (Intervento presentato al convegno 15th International Society of Scientometrics and Informetrics Conference, ISSI 2015 tenutosi a Bogacizi UniversityIstanbul; Turkey nel 2015).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/908259
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