We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
Fuzzy Description Logics (DLs) are a family of logics which allow the representation of (and the reasoning within) structured knowledge affected by vagueness. Although a relativel...
Sophisticated uncertainty representation and reasoning are necessary for the alignment and integration of Web data from different sources. For this purpose the extension of the Des...
Nikos Simou, Theofilos P. Mailis, Giorgos Stoilos,...
We show that feature logic extended by functional uncertainty is decidable, even if one admits cyclic descriptions. We present an algorithm, which solves feature descriptions cont...
mspass is an extension of the first-order theorem prover spass, which can be used as a modal logic theorem prover, a theorem prover for description logics and a theorem prover for ...