Title: Leveraging Knowledge Representation for Data Modeling and Data Engineering: from semantic data models to knowledge graphs

Abstract:
While data constitute one of the most important components of an information system, many research efforts today focus on Machine Learning models and algorithms, with the properties of data feeding such algorithms playing a secondary role. Thus, shifting the attention to data has been recently proposed as one of the most timely topics in Data Analytics and Artificial Intelligence (AI) research, under the name of Data-Centric AI, where data modeling and data quality returns to center stage. Arguably, the field of Knowledge Representation and Reasoning (KRR) can provide important contributions for improving the quality of Machine Learning applications, by providing techniques and tools for improving the Data Modeling and Data Engineering (DMDE) tasks needed for AI applications. In this talk I will try to summarize the most important steps of the research done at the crossing between DMDE and KKR in the last decades, from the early work on Data Data Modeling and Semantic Networks to the investigation on ontologies and Knowledge Graphs.

Brief Bio:
Maurizio Lenzerini ( http://www.dis.uniroma1.it/~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 Conceptual Modeling, 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. According to Google Scholar he has an h-index of 82, and a total of 30.747 citations (July 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).