Logical fusion rules for merging structured news reports
Data & Knowledge Engineering
Uncertainty and Partial Non-uniform Assumptions in Parametric Deductive Databases
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Fusion rules for merging uncertain information
Information Fusion
A knowledge-based approach to merging information
Knowledge-Based Systems
The Knowledge Engineering Review
Using consensus susceptibility and consistency measures for inconsistent knowledge management
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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We study the problem of integrating information coming from different sources in a distributed environment. We assume a central server that collects facts from sources and tries to combine them using a set of logical rules, i.e. a logic program. We provide a formal framework for the integration of information in such a setting, under non-uniform assumptions on the missing information.