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.

Meta-Stars: Dynamic, Schemaless, and Semantically-Rich Topic Hierarchies in Social BI

GALLINUCCI, ENRICO;GOLFARELLI, MATTEO;RIZZI, STEFANO
2015

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.
Advances in Database Technology - EDBT 2015, 18th International Conference on Extending Database Technology, Proceedings
529
532
Enrico Gallinucci; Matteo Golfarelli; Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/454766
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