CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishWith the term Social Business Intelligence we refer to a branch of Business Intelligence specialized in applying On-Line Analytical Processing analysis to User-Generated Contents collected from the Web and other sources of social information. The high dynamics of the domain as well as the nature of the source data, that are textual rather than numerical, require specific techniques both for modeling data and managing a project. Despite the increasing diffusion of Social Business Intelligence applications, only few works in the academic literature addressed such distinguishing features. In this paper we propose both a modeling technique and a methodology that enable the possibility of carrying out a more dynamic and expressive design in Social Business Intelligence projects. We also propose a set of experimental results on real data and real projects proving the effectiveness of our solutions.
| Titolo: | Design Issues in Social Business Intelligence Projects | |
| Autore/i: | GOLFARELLI, MATTEO | |
| Autore/i Unibo: | ||
| Anno: | 2016 | |
| Serie: | ||
| Titolo del libro: | Business Intelligence | |
| Pagina iniziale: | 62 | |
| Pagina finale: | 86 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-39243-1_3 | |
| Abstract: | With the term Social Business Intelligence we refer to a branch of Business Intelligence specialized in applying On-Line Analytical Processing analysis to User-Generated Contents collected from the Web and other sources of social information. The high dynamics of the domain as well as the nature of the source data, that are textual rather than numerical, require specific techniques both for modeling data and managing a project. Despite the increasing diffusion of Social Business Intelligence applications, only few works in the academic literature addressed such distinguishing features. In this paper we propose both a modeling technique and a methodology that enable the possibility of carrying out a more dynamic and expressive design in Social Business Intelligence projects. We also propose a set of experimental results on real data and real projects proving the effectiveness of our solutions. | |
| Data stato definitivo: | 8-nov-2016 | |
| Appare nelle tipologie: | 2.01 Capitolo / saggio in libro |
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http://hdl.handle.net/11585/566829
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