Logical inconsistency may often occur throughout the development stage of a DL-based ontology. We apply the lexicographic inference to reason over inconsistent DL-based ontologies without repairing them first. We address the problem of checking consequences in a ontology that are classically inferred from every consistent (or coherent) subontology having the highest lexicographic precedence. We propose a method for compiling a ontology to a propositional program so that the problem can be solved in polynomial calls to a SAT solver. We prove that this time complexity is worst-case optimal in data complexity. In order to make the method more scalable, we also present partition-based techniques to optimize the calling of SAT solvers. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Du, J., Qi, G., & Shen, Y. D. (2008). Lexicographical inference over inconsistent DL-based ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5341 LNCS, pp. 58–73). Springer Verlag. https://doi.org/10.1007/978-3-540-88737-9_6
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