Evidence-based governance and e-democracy both rely on the capability to analyze aggregated and statistical data. Recent studies report that existing analysis tools were never fully embraced by managers mainly because of their complexity for many analytical use cases. This is even more true for citizens, that do not have full control over underlying data and analysis models. In the present work, we propose an innovative user-centered approach for data analytics, that facilitates the interaction of users with statistical and aggregated measures, i.e. indicators. We provide an overview of the framework, discussing its main components and functionalities. In particular we focus on an ontology representing both atomic and compound indicators, that are provided with a calculation formula. We show how such a logic-based representation of indicators allows the implementation of powerful, automatic reasoning services, capable to provide a valuable support to users for performing analysis tasks.
Towards a Customizable User-Centered Model for Data Analytics / Diamantini, Claudia; Genga, Laura; Potena, Domenico; Storti, Emanuele. - STAMPA. - (2015), pp. 249-256. (Intervento presentato al convegno 2015 International Conference on Collaboration Technologies and Systems tenutosi a Atlanta, Georgia, USA nel June 1-5, 2015).
Towards a Customizable User-Centered Model for Data Analytics
DIAMANTINI, Claudia;GENGA, LAURA;POTENA, Domenico;STORTI, EMANUELE
2015-01-01
Abstract
Evidence-based governance and e-democracy both rely on the capability to analyze aggregated and statistical data. Recent studies report that existing analysis tools were never fully embraced by managers mainly because of their complexity for many analytical use cases. This is even more true for citizens, that do not have full control over underlying data and analysis models. In the present work, we propose an innovative user-centered approach for data analytics, that facilitates the interaction of users with statistical and aggregated measures, i.e. indicators. We provide an overview of the framework, discussing its main components and functionalities. In particular we focus on an ontology representing both atomic and compound indicators, that are provided with a calculation formula. We show how such a logic-based representation of indicators allows the implementation of powerful, automatic reasoning services, capable to provide a valuable support to users for performing analysis tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
