F. Baader, P. Koopmann, Friedrich Michel, Anni-Yasmin Turhan, Benjamin Zarrieß
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Efficient TBox Reasoning with Value Restrictions using the ℱℒ0wer reasoner
The inexpressive Description Logic (DL)
${\cal F}{{\cal L}_0}$
, which has conjunction and value restriction as its only concept constructors, had fallen into disrepute when it turned out that reasoning in
${\cal F}{{\cal L}_0}$
w.r.t. general TBoxes is ExpTime-complete, that is, as hard as in the considerably more expressive logic
${\cal A}{\cal L}{\cal C}$
. In this paper, we rehabilitate
${\cal F}{{\cal L}_0}$
by presenting a dedicated subsumption algorithm for
${\cal F}{{\cal L}_0}$
, which is much simpler than the tableau-based algorithms employed by highly optimized DL reasoners. Our experiments show that the performance of our novel algorithm, as prototypically implemented in our
${\cal F}{{\cal L}_0}$
wer reasoner, compares very well with that of the highly optimized reasoners.
${\cal F}{{\cal L}_0}$
wer can also deal with ontologies written in the extension
${\cal F}{{\cal L}_ \bot }$
of
${\cal F}{{\cal L}_0}$
with the top and the bottom concept by employing a polynomial-time reduction, shown in this paper, which eliminates top and bottom. We also investigate the complexity of reasoning in DLs related to the Horn-fragments of
${\cal F}{{\cal L}_0}$
and
${\cal F}{{\cal L}_ \bot }$
.
期刊介绍:
Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.