We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
tract State Machines to Concurrent Transaction Logic Dumitru Roman1 , Michael Kifer2 , and Dieter Fensel1 1 STI Innsbruck, Austria 2 State University of New York at Stony Brook, US...
This paper gives an account of how traditional metadata application profiles are related to Web ontologies and Description Logics. It is shown that metadata profiles can be formal...
Dimitrios A. Koutsomitropoulos, Georgia D. Solomou
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...