Uncertainty Measure Model of Schema Integration Based on All Known Entropy.

Uncertainty is intrinsic in schema integration. An uncertainty measure model of schema integration system (SIS) is presented. Schema object cleanout module and its attribute cleanout module can make the model measure uncertainty of large-scale SIS. Schema integration is a process with multi-attribute and decision-making. Uncertainty ratio based on all known entropy of rough set is adopted for measuring uncertainty of submodels of SIS. Uncertainty measure of process model is used in whole uncertainty measure. The method for synthesizing the uncertainty ratio is provided. Experimental results show that the presented model is feasible and effectual. [ABSTRACT FROM AUTHOR]