with Marco Calautti
Nowadays, we are facing, more than ever, the need of dealing with large amounts of data from which we would like to extrapolate useful and clear information. However, different challenges are now arising in doing so, that not only depend on the high volume of the data, but also on how fast these data can change, on the variety of the sources providing the data, and on the reliability of such sources.
The above have been regarded as the so-called 4 V’s of Big Data, i.e., Volume, Velocity, Variety and Veracity.
It has been recently recognized that Variety is what is mostly driving Big Data initiatives, i.e. the challenge of integrating heterogeneous data coming from multiple sources into a unified, easily accessible base of knowledge.
In this talk, he will discuss how semantic web technologies can help in facing these challenges, by presenting the so-called Ontology-Based Data Access (OBDA) approach. We will see typical OBDA use cases, as well as recent advancements, including some of his contributions, in this active field of research, and we will also explore future directions on the topic.
Marco Calautti is a senior researcher for the Department of Information Engineering and Computer Science at the University of Trento. He obtained his PhD in Systems Engineering and Computer Science in 2016, at the University of Calabria.
Between his PhD and his current position, he has worked abroad as a researcher, collaborating with internationally recognized research institutions such as the University of Oxford and the University of Edinburgh, with which he still actively collaborating.
His main research interests lie at the intersection of data management and artificial intelligence (in particular, semantic web technologies). This new field of research, recently coined as “Knowledge-enriched data management”, aims at helping people to make effective use of their large amounts of data via automatic reasoning and knowledge representation methodologies.