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.
EnglishA key role in OLAP analyses of textual user-generated content for social business intelligence (SBI) is played by topics, i.e., concepts of interest within a subject area. Topic hierarchies are irregular, heterogeneous, dynamic, and possibly schemaless; besides, unlike in traditional OLAP, different semantics for topic aggregation can be envisioned. In this demonstration we present an architecture for SBI based on meta-stars, a novel approach to topic modeling in ROLAP systems. By coupling meta-modeling with navigation tables, meta-stars can cope with changes in the schema of irregular hierarchies and with schemaless ones; besides, they enable a new class of OLAP queries based on semantically-aware aggregation. The demonstration will focus both on the hierarchy update process and on the querying expressiveness.
| Titolo: | Meta-Stars: Dynamic, Schemaless, and Semantically-Rich Topic Hierarchies in Social BI | |
| Autore/i: | GALLINUCCI, ENRICO; GOLFARELLI, MATTEO; RIZZI, STEFANO | |
| Autore/i Unibo: | ||
| Anno: | 2015 | |
| Titolo del libro: | Advances in Database Technology - EDBT 2015, 18th International Conference on Extending Database Technology, Proceedings | |
| Pagina iniziale: | 529 | |
| Pagina finale: | 532 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.5441/002/edbt.2015.50 | |
| Abstract: | A key role in OLAP analyses of textual user-generated content for social business intelligence (SBI) is played by topics, i.e., concepts of interest within a subject area. Topic hierarchies are irregular, heterogeneous, dynamic, and possibly schemaless; besides, unlike in traditional OLAP, different semantics for topic aggregation can be envisioned. In this demonstration we present an architecture for SBI based on meta-stars, a novel approach to topic modeling in ROLAP systems. By coupling meta-modeling with navigation tables, meta-stars can cope with changes in the schema of irregular hierarchies and with schemaless ones; besides, they enable a new class of OLAP queries based on semantically-aware aggregation. The demonstration will focus both on the hierarchy update process and on the querying expressiveness. | |
| Data stato definitivo: | 12-lug-2016 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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