We’re pleased to announce that the updated schedule for the Workshops & Tutorials is now available online!
A wide range of exciting sessions await you — covering cutting-edge research and practical insights.
🗓️ Please check the official schedule here:
🔗 https://2025.eswc-conferences.org/workshops-tutorials/
We look forward to welcoming you to the ESWC 2025 Workshops & Tutorials!
We are pleased to announce that Leonid Libkin is going to be one of our keynotes!
Here some words about what he’s going to talk about at ESWC 2025:
Title “Languages for property graphs: progress overview and future directions”
Abstract: Labeled property graphs are one of the two main models of graph data, together with RDF. In the past decade and a half they have seen an enormous progress in terms of product development, investment, and academic research. Most recently this culminated in two new international standards produced by the SQL Standard committee: SQL/PGQ specifies querying property graphs in SQL, and GQL is a standalone graph query language. In this talk I will give an overview of what has been achieved, and also present recent research results from the academic world. It has so far mainly followed developments in industry, deciphering standards and producing their abstractions; but now, equipped with those abstractions, we have been able to analyse new languages and find their deficiencies. I shall present some of them, and outline a roadmap of what can be done to rectify them and enhance those standards. I shall also make connections with the closely related RDF world and discuss how the two can be brought closer together.
Bio: Leonid Libkin is a professor of computer science at the University of Edinburgh and query language researcher at RelationalAI; he is also holding part-time industrial chair position at Université Paris-Cité. He was previously scientific advisor to Neo4j, professor at the University of Toronto, at École Normale Supérieure, and member of research staff at Bell Laboratories in Murray Hill. He received his PhD from the University of Pennsylvania in 1994. His main research interests are in the areas of data management and logic in computer science. He has written five books and over 250 technical papers. His awards include a Marie Curie Chair Award, a Royal Society Wolfson Research Merit Award, eight Best Paper Awards, and a test of time award. He has chaired program committees of major database and logic conferences (PODS, LICS, ICDT), and served as chair of the Federated Logic Conference and general chair of PODS. He is an ACM fellow, a fellow of the Royal Society of Edinburgh, and a member of Academia Europaea.
We are pleased to announce that Sonja Zillner is going to be one of our keynotes!
Here some words about what she’s going to talk about at ESWC 2025:
Title “Responsible AI Engineering”
Abstract: AI is an important technology for leveraging new and promising business opportunities in the industrial domain. However, the usage of AI technology also introduces a wide range of new risks and threats across various dimensions such as cybersecurity, reliability, robustness, safety, transparency, and human oversight – all of which need to be carefully addressed.
In addition, organizations are confronted with an increasing amount of digital and AI-based legislation in the international environment. This leads to a fragmented landscape of legal and risk-related requirements, often inconsistent, overlapping, and duplicated. This results in high uncertainty and bureaucratic burden during the development and deployment of AI products.
To address these challenges, a systematic and efficient approach is required to handle the complex legal requirements as well as the emerging wide range of risk sources, in order to boost AI innovation in a responsible manner. Responsible AI engineering describes such a systematic approach, enabling the efficient and innovative development of AI products while ensuring compliance with the complex and fragmented legal landscape.
In this presentation, I will introduce the Siemens Generative Risk Management Process as an example of a responsible AI engineering approach that is currently being rolled out at Siemens. This demonstrates how organizations can drive AI innovation forward in a compliant and risk-aware manner.
Bio: Sonja Zillner is the Principal for Industrial Trustworthy Artificial Intelligence at Siemens Foundational Technology. She is Head of the Core Company Technology Module “Trustworthy AI” at Siemens AG as well as leading the design, development, and implementation of the Generative AI Risk Management Process for Siemens industrial products. She earned her doctoral degree in 2005 from the Technical University of Vienna, and has held an honorary professorship at the Technical University of Munich since 2021.
The Project Networking track of ESWC offers an excellent opportunity for research projects to connect, collaborate, and engage in meaningful discussions about their development and outcomes. This track encourages the sharing of knowledge and technology, and it helps to identify complementary activities and goals, laying the groundwork for future collaborations, joint research proposals, researcher exchanges, or collective participation in events and initiatives.
Important dates:
Second round:
Irene Celino – Cefriel (Italy)
Rafiqul Haque – INSIGHT (Ireland)
eswc2025-project-networking@easychair.org
We are looking forward to your submissions!