Maximum Entropy in Support of Semantically Annotated Datasets

Authors

Paulo Pinheiro da Silva, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow
Christian Servin, The University of Texas at El PasoFollow

Publication Date

9-2008

Comments

Technical Report: UTEP-CS-08-31a

To appear in the Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web URSW'2008, Karlsruhe, Germany, October 26, 2008.

Abstract

One of the important problems of semantic web is checking whether two datasets describe the same quantity. The existing solution to this problem is to use these datasets' ontologies to deduce that these datasets indeed represent the same quantity. However, even when ontologies seem to confirm the identify of the two corresponding quantities, it is still possible that in reality, we deal with somewhat different quantities. A natural way to check the identity is to compare the numerical values of the measurement results: if they are close (within measurement errors), then most probably we deal with the same quantity, else we most probably deal with different ones. In this paper, we show how to perform this checking.