Abstract
In this paper, we propose a novel approach to measure inconsistencies in ontologies based on Shapley values, which are originally proposed for game theory. This measure can be used to identify which axioms in an input ontology or which parts of these axioms need to be removed or modified in order to make the input consistent. We also propose optimization techniques to improve the efficiency of computing Shapley values. The proposed approach is independent of a particular ontology language or a particular reasoning system used. Application of this approach can improve the quality of ontology diagnosis and repair in general. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Deng, X., Haarslev, V., & Shiri, N. (2007). Measuring inconsistencies in ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4519 LNCS, pp. 326–340). Springer Verlag. https://doi.org/10.1007/978-3-540-72667-8_24
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
