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

We propose a novel, type-elimination-based method for standard reasoning in the description logic SHIQbs extended by 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 (OB...

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Main Authors: Rudolph, S, Krötzsch, M, Hitzler, P
Format: Journal article
Language:English
Published: 2012
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author Rudolph, S
Krötzsch, M
Hitzler, P
author_facet Rudolph, S
Krötzsch, M
Hitzler, P
author_sort Rudolph, S
collection OXFORD
description We propose a novel, type-elimination-based method for standard reasoning in the description logic SHIQbs extended by 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) that 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. ©S. Rudolph, M. Krötzsch, and P. Hitzler.
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spelling oxford-uuid:cc0ab043-c1f0-45be-8a2d-7f80b60d69e42022-03-27T07:19:00ZType-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalogJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cc0ab043-c1f0-45be-8a2d-7f80b60d69e4EnglishSymplectic Elements at Oxford2012Rudolph, SKrötzsch, MHitzler, PWe propose a novel, type-elimination-based method for standard reasoning in the description logic SHIQbs extended by 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) that 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. ©S. Rudolph, M. Krötzsch, and P. Hitzler.
spellingShingle Rudolph, S
Krötzsch, M
Hitzler, P
Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title_full Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title_fullStr Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title_full_unstemmed Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title_short Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
title_sort type elimination based reasoning for the description logic shiqbs using decision diagrams and disjunctive datalog
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AT krotzschm typeeliminationbasedreasoningforthedescriptionlogicshiqbsusingdecisiondiagramsanddisjunctivedatalog
AT hitzlerp typeeliminationbasedreasoningforthedescriptionlogicshiqbsusingdecisiondiagramsanddisjunctivedatalog