A toward framework for generic uncertainty management

摘要: The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and the open Web. Mathematical theories reason uncertain have been successfully applied in several situations, but each one of these models tailored specific semantics uncertainty. In this paper, we put forward idea using explicit representations different types uncertainty partitioning pro- cess into parts. By coordinating multiple independent reasoning cesses, are sometimes apply model type information, recombine final results via suit- reconciliation process. We validated our approach applying it classic schema matching problem, Ontology Alignment Evaluation Initiative, (OAEI) tests assess results.