Towards a customizable user-centered model for data analytics.

Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2015 International Conference on Collaboration Technologies and Systems (CTS)
PublisherIEEE Press
Pages249-256
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event2015 International Conference on Collaboration Technologies and Systems (CTS) - Atlanta, United States
Duration: 1 Jun 20155 Jun 2015
https://ieeexplore.ieee.org/xpl/conhome/7169724/proceeding

Conference

Conference2015 International Conference on Collaboration Technologies and Systems (CTS)
CountryUnited States
CityAtlanta
Period1/06/155/06/15
Internet address

Fingerprint

Dive into the research topics of 'Towards a customizable user-centered model for data analytics.'. Together they form a unique fingerprint.

Cite this