Cristhian A. D. Deagustini

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Recommender systems have become prevalent in recent years as they help users to access relevant items from the vast universe of possibilities available these days. Most existing research in this area is based purely on quantitative aspects such as indices of popularity or measures of similarity between items or users. This work introduces a novel(More)
Knowledge bases in the form of ontologies are receiving increasing attention as they allow to clearly represent both the available knowledge, which includes the knowledge in itself and the constraints imposed to it by the domain or the users. In particular, Datalog± ontologies are attractive because of their property of decidability and the possibility of(More)
The concept of incoherence naturally arises in ontological settings, specially when integrating knowledge. In the Datalog± literature, however, this is an issue that is yet to be studied more deeply. The main focus of our work is to show how classical inconsistency-tolerant semantics for query answering behaves when dealing with atoms that are relevant to(More)
The concept of incoherence naturally arises in ontological settings, specially when integrating knowledge. In this work we study a notion of incoherence for Datalog± ontologies based on the definition of satisfiability of a set of existential rules regarding the set of integrity constraints in a Datalog± ontology. We show how classical(More)