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Lexicographical Inference over Inconsistent DL-Based Ontologies

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5341))

Abstract

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 \(\mathcal{SHIQ}\) ontology that are classically inferred from every consistent (or coherent) subontology having the highest lexicographic precedence. We propose a method for compiling a \(\mathcal{SHIQ}\) 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.

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Du, J., Qi, G., Shen, YD. (2008). Lexicographical Inference over Inconsistent DL-Based Ontologies. In: Calvanese, D., Lausen, G. (eds) Web Reasoning and Rule Systems. RR 2008. Lecture Notes in Computer Science, vol 5341. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88737-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-88737-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88736-2

  • Online ISBN: 978-3-540-88737-9

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