English

Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog

Logic in Computer Science 2015-07-01 v2 Artificial Intelligence Logic

Abstract

We propose a novel, type-elimination-based method for reasoning in the description logic SHIQbs including DL-safe rules. To this end, we first establish a knowledge compilation method converting the terminological part of an ALCIb knowledge base into an ordered binary decision diagram (OBDD) which represents a canonical model. This OBDD can in turn be transformed into disjunctive Datalog and merged with the assertional part of the knowledge base in order to perform combined reasoning. In order to leverage our technique for full SHIQbs, we provide a stepwise reduction from SHIQbs to ALCIb that preserves satisfiability and entailment of positive and negative ground facts. The proposed technique is shown to be worst case optimal w.r.t. combined and data complexity and easily admits extensions with ground conjunctive queries.

Keywords

Cite

@article{arxiv.1202.0914,
  title  = {Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog},
  author = {Sebastian Rudolph and Markus Krötzsch and Pascal Hitzler},
  journal= {arXiv preprint arXiv:1202.0914},
  year   = {2015}
}

Comments

38 pages, 3 figures, camera ready version of paper accepted for publication in Logical Methods in Computer Science

R2 v1 2026-06-21T20:14:53.595Z