Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources

Fusionplex is a system for integrating multiple heterogeneous and autonomous information sources that uses data fusion to resolve factual inconsistencies among the individual sources. To accomplish this, the system relies on source features, which are meta-data on the merits of each information source; for example, the recentness of the data, its accuracy, its availability, or its cost. The fusion process is controlled with several parameters: (1) with a vector of feature weights, each user defines an individual notion of data utility; (2) with thresholds of acceptance, users ensure minimal performance of their data, excluding from the fusion process data that are too old, too costly, or lacking in authority, or numeric data that are too high, too low, or obvious outliers; and, ultimately, (3) in naming a particular fusion function to be used for each attribute (for example, average, maximum, or simply any) users implement their own interpretation of fusion. Several simple extensions ...

• Type: Journal
• Year: 2006
• Where: INFFUS
• Authors: Amihai Motro, Philipp Anokhin
• Keywords: Fusion Process, Fusion Process Data, INFFUS 2006, Information Source