In this paper we present a novel uncertainty-enabled approach to data integration. Uncertainty is a natural by-product of many automatic data integration processes. In our approach we keep it up to the integrated database, and use it to improve query answering. Our method is based on the concept of preference: we show how preferences can be interpreted and manipulated to produce a global uncertain data source, and discuss the complexity of ranking query results on the integrated database.
Preference-Based Uncertain Data Integration / M. Magnani; D. Montesi. - STAMPA. - (2008), pp. 136-145. (Intervento presentato al convegno Knowledge Engineering: Practice and Patterns, 16th International Conference tenutosi a Acitrezza (Italy) nel Ottobre 2008).
Preference-Based Uncertain Data Integration
MAGNANI, MATTEO;MONTESI, DANILO
2008
Abstract
In this paper we present a novel uncertainty-enabled approach to data integration. Uncertainty is a natural by-product of many automatic data integration processes. In our approach we keep it up to the integrated database, and use it to improve query answering. Our method is based on the concept of preference: we show how preferences can be interpreted and manipulated to produce a global uncertain data source, and discuss the complexity of ranking query results on the integrated database.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
