Invited ICDT Lecture

We are very pleased to announce the invited ICDT2024 tutorial speaker.

"Rule-based Ontologies: From Semantics to Syntax"

by Andreas Pieris

University of Edinburgh
University of Cyprus

Abstract: An ontology specifies an abstract model of a domain of interest via a formal language that is typically based on logic. Tuple-generating dependencies (tgds) and equality-generating dependencies (egds) originally introduced as a unifying framework for database integrity constraints, and later on used in data exchange and integration, are well suited for modeling ontologies that are intended for data-intensive tasks. The reason is that, unlike other popular formalisms such as description logics, tgds and egds can easily handle higher-arity relations that naturally occur in relational databases. In recent years, there has been an extensive study of tgd- and egd-based ontologies and of their applications to several different data-intensive tasks. In those studies, model theory plays a crucial role and it typically proceeds from syntax to semantics. In other words, the syntax of an ontology language is introduced first and then the properties of the mathematical structures that satisfy ontologies of that language are explored. There is, however, a mature and growing body of research in the reverse direction, i.e., from semantics to syntax. Here, the starting point is a collection of model-theoretic properties and the goal is to determine whether or not these properties characterize some ontology language. Such results are welcome as they pinpoint the expressive power of an ontology language in terms of insightful model-theoretic properties. The main aim of this tutorial is to present a comprehensive overview of model-theoretic characterizations of tgd- and egd-based ontology languages that are encountered in database theory and symbolic artificial intelligence.

Andreas Pieris

Andreas Pieris is an Associate Professor at the University of Edinburgh and an Assistant Professor at the University of Cyprus. His research interests are database theory with emphasis on knowledge-enriched data and uncertain data, knowledge representation and reasoning, computational logic and its applications to computer science. He has published numerous papers, most of them in leading international conferences and journals. He has served on the PCs of many international conferences and workshops, including the top-tier database and AI conferences, and he was one of the general chairs for EDBT/ICDT 2022.