6 citations · 18 across the 18 of their papers we have counts for
8 papers · 1 filter
Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies
Gabriella Pasi, Rafael Peñaloza
A prominent problem in knowledge representation is how to answer queries taking into account also the implicit consequences of an ontology representing domain knowledge. While this…
Repairing Ontologies via Axiom Weakening
Nicolas Troquard, Roberto Confalonieri, Pietro Galliani +3
Ontology engineering is a hard and error-prone task, in which small changes may lead to errors, or even produce an inconsistent ontology. As ontologies grow in size, the need for a…
A Decidable Very Expressive Description Logic for Databases (Extended Version)
Alessandro Artale, Enrico Franconi, Rafael Peñaloza +1
We introduce , an extension of the n-ary propositionally closed description logic to deal with attribute-labelled tuples (generalising the position…
Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version)
Rafael Peñaloza, Nico Potyka
We present a probabilistic extension of the description logic for reasoning about statistical knowledge. We consider conditional statements over proportions of the…
Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version)
Rafael Peñaloza, Nico Potyka
A central question for knowledge representation is how to encode and handle uncertain knowledge adequately. We introduce the probabilistic description logic ALCP that is designed f…
Reasoning in Infinitely Valued G-IALCQ
Stefan Borgwardt, Rafael Peñaloza
Fuzzy Description Logics (FDLs) are logic-based formalisms used to represent and reason with vague or imprecise knowledge. It has been recently shown that reasoning in most FDLs us…
Fuzzy Answer Set Computation via Satisfiability Modulo Theories
Mario Alviano, Rafael Penaloza
Fuzzy answer set programming (FASP) combines two declarative frameworks, answer set programming and fuzzy logic, in order to model reasoning by default over imprecise information.…
Dynamic Bayesian Ontology Languages
İsmail İlkan Ceylan, Rafael Peñaloza
Many formalisms combining ontology languages with uncertainty, usually in the form of probabilities, have been studied over the years. Most of these formalisms, however, assume tha…