Abstract
With this contribution we push the boundary of some known optimisations such as caching to the very expressive Description Logic \(\mathcal{SROIQ}\). The developed method is based on a sophisticated dependency management and a precise unsatisfiability caching technique, which further enables better informed tableau backtracking and more efficient pruning. Additionally, we optimise the handling of cardinality restrictions, by introducing a strategy called pool-based merging.
We empirically evaluate the proposed optimisations within the novel reasoning system Konclude and show that the proposed optimisations indeed result in significant performance improvements.
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Steigmiller, A., Liebig, T., Glimm, B. (2012). Extended Caching, Backjumping and Merging for Expressive Description Logics. In: Gramlich, B., Miller, D., Sattler, U. (eds) Automated Reasoning. IJCAR 2012. Lecture Notes in Computer Science(), vol 7364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31365-3_40
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DOI: https://doi.org/10.1007/978-3-642-31365-3_40
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