Extended caching, backjumping and merging for expressive description logics

10Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

With this contribution we push the boundary of some known optimisations such as caching to the very expressive Description Logic . 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. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Steigmiller, A., Liebig, T., & Glimm, B. (2012). Extended caching, backjumping and merging for expressive description logics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7364 LNAI, pp. 514–529). https://doi.org/10.1007/978-3-642-31365-3_40

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free