Objectives

1. To engineer ontology-based data access solutions so as to be able to cope with very large heterogeneous data sources, complex ontologies that capture the semantics of the domain of interest, and rich mappings between the ontology and the data.
2. To develop novel techniques for ontology-based query rewriting.

Topics

• Ontology-based data access and integration
• Knowledge representation and reasoning

Key technologies

ONTOP

Applications

Big data

Diego Calvanese is a full professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano. He teaches graduate and undergraduate courses on knowledge bases and databases, ontologies, theory of computing, and formal languages. He received a PhD from Sapienza University of Rome in 1996. His research interests include formalisms for knowledge representation and reasoning, ontology-based data access and integration, description logics, Semantic Web, graph data management, data-aware process verification, and service modeling and synthesis. He has been actively involved in several national and international research projects in the above areas (including FP6-7603 TONES, FP7-257593 ACSI, FP7-318338 Optique). He is the author of more than 300 refereed publications, including ones in the most prestigious international journals and conferences in Databases and Artificial Intelligence, with almost 25000 citations and an h-index of 65, according to Google Scholar. He is one of the editors of the Description Logic Handbook. He has been nominated Fellow of the European Association for Artificial Intelligence (EurAI, formerly ECCAI) in 2015. Find out more about him checking out his website.

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Web site

http://optique-project.eu/