8 citations · 18 across the 6 of their papers we have counts for
6 papers
Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases
Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
The necessity to manage inconsistency in Description Logics Knowledge Bases (KBs) has come to the fore with the increasing importance gained by the Semantic Web, where information…
An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols
Marco Alberti, Riccardo Zese, Fabrizio Riguzzi +1
Hybrid Knowledge Bases based on Lifschitz's logic of Minimal Knowledge with Negation as Failure are a successful approach to combine the expressivity of Description Logics and Logi…
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
Elena Bellodi, Marco Gavanelli, Riccardo Zese +2
Uncertain information is being taken into account in an increasing number of application fields. In the meantime, abduction has been proved a powerful tool for handling hypothetica…
A Framework for Reasoning on Probabilistic Description Logics
Giuseppe Cota, Riccardo Zese, Elena Bellodi +2
While there exist several reasoners for Description Logics, very few of them can cope with uncertainty. BUNDLE is an inference framework that can exploit several OWL (non-probabili…
MAP Inference for Probabilistic Logic Programming
Elena Bellodi, Marco Alberti, Fabrizio Riguzzi +1
In Probabilistic Logic Programming (PLP) the most commonly studied inference task is to compute the marginal probability of a query given a program. In this paper, we consider two…
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach
Riccardo Zese, Giuseppe Cota, Evelina Lamma +2
When modeling real world domains we have to deal with information that is incomplete or that comes from sources with different trust levels. This motivates the need for managing un…