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Keynote Lectures

Keynote Lecture
Luís Paulo Reis, University of Porto, Portugal

Data Modeling and AI: From Semantic Networks to Knowledge Graphs
Maurizio Lenzerini, Sapienza University of Rome, Italy

Keynote Lecture

Luís Paulo Reis
University of Porto
Portugal
http://www.fe.up.pt/~lpreis

Brief Bio
Luís Paulo Reis holds a BSc (5 years), MSc (2 years) and PhD degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP), Associate Professor of DEI/FEUP - Department of Computer Engineering (DEI) of FEUP and Director of LIACC/UP - Laboratory of Artificial Intelligence and Computer Science of the same University. It has a complete and very well balanced curriculum in the main areas of Computer Engineering and Computer Science with emphasis on the areas of Artificial Intelligence, Intelligent Robotics, Machine Learning, Interaction /Games, Computer Programming and Information Systems. He has very good academic qualification, teaching experience, research experience, knowledge transfer experience and management experience in these areas.

Abstract
Available soon.

Data Modeling and AI: From Semantic Networks to Knowledge Graphs

Maurizio Lenzerini
Sapienza University of Rome
Italy
http://www.diag.uniroma1.it/~lenzerini

Brief Bio
Maurizio Lenzerini is a Professor of Data and Knowledge Management at the Department of Computer, Control, and Management Engineering of Sapienza University of Rome. His research interests lie at the intersection of Artificial Intelligence and Data Management, with emphasis on Knowledge Representation, Automated Reasoning, Knowledge Graphs, Ontology-based Data Access and Integration. He is the author of more than 300 publications on the above topics, and has delivered around 40 invited talks. According to Google Scholar he has an h-index of 82, and a total of 29534 citations (January 2023). He is a member of the Academia Europaea - The European Academy and the recipient of two IBM Faculty Awards, of the Peter Chen Award and of the ER (Entity-Relationship) Fellows Award. He is a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), of EurAI (European Association for Artificial Intelligence), of the ACM (Association for Computing Machinery) and of AAAI (Association for the Advance of Artificial Intelligence).

Abstract
While data constitute one of the most important components of an AI system, the majority of research efforts today focus on ML models and algorithms, with the properties of data feeding such algorithms playing a secondary role. Thus, shifting the attention to data has been proposed as one of the most timely topics in AI research, under the name of Data-Centric AI. Arguably, the field of Knowledge Representation and Reasoning (KRR), and in particular its connection to the area of Data Modeling (DM), can provide important contributions towards shaping the research on Data-Centric AI. In this talk I will try to summarize the most important steps of the research done at the crossing between KKR and DM in the last decades, from the early work on Semantic Networks to the investigation on ontologies and Knowledge Graphs.