Practical Reasoning for Very Expressive Description Logics

Computer Science – Logic in Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Expressive role constructors are important in many applications, but can be computationally problematical. We present an algorithm that decides satisfiability of the DL ALC extended with transitive and inverse roles and functional restrictions with respect to general concept inclusion axioms and role hierarchies; early experiments indicate that this algorithm is well-suited for implementation. Additionally, we show that ALC extended with just transitive and inverse roles is still in PSPACE. We investigate the limits of decidability for this family of DLs, showing that relaxing the constraints placed on the kinds of roles used in number restrictions leads to the undecidability of all inference problems. Finally, we describe a number of optimisation techniques that are crucial in obtaining implementations of the decision procedures, which, despite the worst-case complexity of the problem, exhibit good performance with real-life problems.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Practical Reasoning for Very Expressive Description Logics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Practical Reasoning for Very Expressive Description Logics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Practical Reasoning for Very Expressive Description Logics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-214442

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.