Data exploration and visualization systems are of great importance in the Big Data era.
Exploring and visualizing very large datasets has become a major research challenge, of …

Cultural Heritage (CH) data is syntactically and semantically heterogeneous, multilingual,
semantically rich, and highly interlinked. It is produced in a distributed, open fashion by …

Abstract Service-oriented architecture (SOA), workflow, the Semantic Web, and Grid
computing are key enabling information technologies in the development of increasingly …

Abstract Ontology Based Data Access (OBDA) is a prominent approach to query databases
which uses an ontology to expose data in a conceptually clear manner by abstracting away …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

We present a description and analysis of the data access challenge in Siemens Energy. We
advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven …

An important application of semantic technologies in industry has been the formalisation of
information models using OWL 2 ontologies and the use of RDF for storing and exchanging …

We present a description and analysis of the data access challenge in the Siemens Energy.
We advocate for Ontology Based Data Access (OBDA) as a suitable Semantic Web driven …

The LDIF-Linked Data Integration Framework can be used within Linked Data applications
to translate heterogeneous data from the Web of Linked Data into a clean local target …

Data access in an enterprise setting is a determining factor for value creation processes,
such as sense-making, decision-making, and intelligence analysis. Particularly, in an …