Artificial Neural Networks are powerful function approximators capable of modelling
solutions to a wide variety of problems, both supervised and unsupervised. As their size and …

Description logics (DLs) have a long tradition in computer science and knowledge
representation, being designed so that domain knowledge can be described and so that …

Many modern companies wish to maintain knowledge in the form of a corporate knowledge
graph and to use and manage this knowledge via a knowledge graph management system …

Abstract Information systems have to deal with an increasing amount of data that is
heterogeneous, unstructured, or incomplete. In order to align and complete data, systems …

The chase algorithm is a fundamental tool for query evaluation and for testing query
containment under tuple-generating dependencies (TGDs) and equality-generating …

We consider positive rules in which the conclusion may contain existentially quantified
variables, which makes reasoning tasks (such as conjunctive query answering or …

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 …

Over the past years, there has been a resurgence of Datalog-based systems in the database
community as well as in industry. In this context, it has been recognized that to handle the …

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 …

Ontology-based data access is concerned with querying incomplete data sources in the
presence of domain-specific knowledge provided by an ontology. A central notion in this …