=Paper=
{{Paper
|id=Vol-2228/invited3
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2228/invited3.pdf
|volume=Vol-2228
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-2228/invited3.pdf</pdf>
<pre>
         Ontology-based Data Access and Integration:
                   Beyond Relational Data
                               Diego Calvanese1
     1
         Faculty of Computer Science – Free University of Bozen-Bolzano
                                Bolzano – Italy
                          calvanese@inf.unibz.it

Abstract. Ontology-based data access and integration (OBDA/I) are by now
well-established paradigms in which users are provided access to one or more
data sources through a conceptual view that abstracts away details about how
the data is organized and stored. This conceptual view is realized through an
ontology that is connected to the data sources through declarative mappings.
In the last decade, OBDA/I have been studied extensively in the prominent case
where the data sources being queried are standard relational databases. Ad-
vanced tools are available that support query processing in OBDA/I systems,
and this paradigm has been applied in many real-world scenarios in industry
and in public administrations. However, the need has emerged for extending it
to novel types of data, such as temporal, streaming, or tree-structured data. In
this talk, we first overview the basic principles underlying OBDA/I by relying on
significant industrial use cases. We then discuss the challenges that extensions
beyond relational data pose for OBDA/I, and we present recent developments on
how to incorporate such novel forms of data into state-of-the-art systems. The
techniques we present are currently being incorporated into Ontop, an OBDA
system developed at the Free University of Bozen-Bolzano.

</pre>