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|Abstract=We propose a novel method for reasoning in the description logic SHIQ. After a satisfiability preserving transformation from SHIQ to the description logic ALCIb, the obtained ALCIb Tbox T is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for T. This OBDD is turned into a disjunctive datalog program that can be used for Abox reasoning. The algorithm is worst-case optimal w.r.t. data complexity, and admits easy extensions with DL-safe rules and ground conjunctive queries. | |Abstract=We propose a novel method for reasoning in the description logic SHIQ. After a satisfiability preserving transformation from SHIQ to the description logic ALCIb, the obtained ALCIb Tbox T is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for T. This OBDD is turned into a disjunctive datalog program that can be used for Abox reasoning. The algorithm is worst-case optimal w.r.t. data complexity, and admits easy extensions with DL-safe rules and ground conjunctive queries. | ||
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| − | + | |Link=http://korrekt.org/page/Description_Logic_Reasoning_with_Decision_Diagrams, http://korrekt.org/papers/RudophKroetzschHitzler_Datalog-SHIQ-Abox-OBDD_2008.pdf | |
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Version vom 11. September 2009, 08:06 Uhr
Description Logic Reasoning with Decision Diagrams: Compiling SHIQ to Disjunctive Datalog
Published: 2008
Mai
Institution: Universität Karlsruhe (TH)
Archivierungsnummer:1767
Kurzfassung
We propose a novel method for reasoning in the description logic SHIQ. After a satisfiability preserving transformation from SHIQ to the description logic ALCIb, the obtained ALCIb Tbox T is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for T. This OBDD is turned into a disjunctive datalog program that can be used for Abox reasoning. The algorithm is worst-case optimal w.r.t. data complexity, and admits easy extensions with DL-safe rules and ground conjunctive queries.
Weitere Informationen unter: Link, Link
Projekt
Forschungsgebiet
Wissensrepräsentation, Wissensrepräsentationssprachen, Beschreibungslogik, Logik