Given an input dataset (ie, a set of tuples), query definability in Ontology-based Data
Management (OBDM) amounts to finding a query over the ontology whose certain answers …

We study the problem of associating formal semantic descriptions to data services. We base
our proposal on the Ontology-Based Data Access paradigm, where a domain ontology is …

We study a novel reasoning task in Ontology-based Data Management (OBDM), called
Abstraction, which aims at associating formal semantic descriptions to data services. In …

Abstract In Ontology-Based Data Management (OBDM), an abstraction of a source query q
is a query over the ontology capturing the semantics of q in terms of the concepts and the …

Data integration provides a unified and abstract view over a set of existing data sources. The
typical architecture of a data integration system comprises the global schema, which is the …

Abstract In Ontology-Based Data Access (OBDA), a domain ontology is linked to the data
sources of an organization in order to query, integrate and manage data through the …

Effectively documenting data services is a crucial issue in any organization, not only for
governing data but also for interoperation purposes. Indeed, in order to fully realize the …

Data interoperability refers to the issue of accessing and processing data from multiple
sources in order to create more holistic and contextual information for improving data …

Given two datasets, ie, two sets of tuples of constants, representing positive and negative
examples, logical separability is the reasoning task of finding a formula in a certain target …

It is well-known that Artificial Intelligence (AI), and in particular Machine Learning (ML), is not
effective without good data preparation, as also pointed out by the recent wave of data …