In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
While software methodology encourages the use of libraries and advocates architectures of layered libraries, in practice the composition of libraries is not always seamless and th...
Sibylle Schupp, Douglas Gregor, David R. Musser, S...
Nowadays many collaborative organizations require advanced semantic interoperability tools to enable cooperation and communication across distributed Web Information Systems (WIS)....
Devis Bianchini, Valeria De Antonellis, Michele Me...
Open Answer Set Programming (OASP) can be seen as a framework to represent tightly integrated combined knowledge bases of ontologies and rules that are not necessarily DL-safe. The...
New, simple, proofs of soundness (every representable function lies in a given complexity class) for Elementary Affine Logic, LFPL and Soft Affine Logic are presented. The proofs ...