Classical approaches to clean data have relied on using integrity constraints, statistics, or
machine learning. These approaches are known to be limited in the cleaning accuracy …

In this paper, we introduce a family of expressive extensions of Datalog, called Datalog+/-,
as a new paradigm for query answering over ontologies. The Datalog+/-family admits …

In this paper we study data complexity of answering conjunctive queries over description
logic (DL) knowledge bases constituted by a TBox and an ABox. In particular, we are …

Ontology reasoning finds a relevant application in the so-called ontology-based data
access, where a classical extensional database (EDB) is enhanced by an ontology, in the …

This paper summarizes results on a recently introduced family of Datalog-based languages,
called Datalog+/-, which is a new framework for tractable ontology querying, and for a variety …

Ontological queries are evaluated against an enterprise ontology rather than directly on a
database. The evaluation and optimization of such queries is an intriguing new problem for …

The approach to the development of intelligent decision support systems using ontology
knowledge bases consisting of such systems in the article is considered. The classification …

Existential rules, ie Datalog extended with existential quantifiers in rule heads, are currently
studied under a variety of names such as Datalog+/–,∀∃-rules, and tuple-generating …

We propose a description-logic style extension of OWL 2 with nominal schemas which can
be used like" variable nominal classes" within axioms. This feature allows ontology …

We give a solution to the succinctness problem for the size of first-order rewritings of
conjunctive queries in ontology-based data access with ontology languages such as OWL 2 …