While big data analytics is considered as one of the most important paths to competitive
advantage of today's enterprises, data scientists spend a comparatively large amount of time …

Several inconsistency-tolerant semantics have been introduced for querying inconsistent
description logic knowledge bases. The first contribution of this paper is a practical approach …

Data trees, typically encoded in JSON, are ubiquitous in data-driven applications. This
ubiquity makes urgent the development of novel techniques for querying heterogeneous …

The proliferation of heterogeneous data sources in many application contexts brings an
urgent need for expressive and efficient data integration mechanisms. There are strong …

Ontology-mediated query answering (OMQA) consists in asking database queries on
knowledge bases (KBs); a KB is a set of facts called the KB's database, which is described …

Ontology-based data access (OBDA) is a well-established approach to information
management which facilitates the access to a (single) relational data source through the …

Ontology-mediated query answering (OMQA) is a recent data management trend in the
Artificial Intelligence, Database and Semantic Web areas, which aims at answering …

Graphs, and notably RDF graphs, are a prominent way of sharing data. As data usage
democratizes, users need help figuring out the useful content of a graph dataset. In …

In this paper we describe vig, a data scaler for Ontology-Based Data Access (OBDA)
benchmarks. Data scaling is a relatively recent approach, proposed in the database …

Our concern is the overhead of answering OWL 2 QL ontology-mediated queries (OMQs) in
ontology-based data access compared to evaluating their underlying tree-shaped and, more …