Conceptual Modeling: 44th International Conference, ER 2025

Book
Author:Lukyanenko, Roman, MC-General AdministrationUniversity of Virginia ORCID icon orcid.org/0000-0001-8125-5918
Abstract:

This volume of the Lecture Notes in Computer Science series contains the proceedings of the 44th International Conference on Conceptual Modeling – ER 2025, held in Poitiers, France, during October 20–23, 2025. The “City of a hundred bell towers,” Poitiers is a world-renowned gem of art and culture. Poitiers made significant marks on the course of world history, celebrated for its Romanesque architecture and famous for the Battle of Poitiers in 732. Today, its winding streets, imposing churches, and charming squares are seamlessly interwoven with modernity. A bustling technology hub, Poitiers is a leader in education and innovation. ISAE-ENSMA is a driver of aeronautical and space excellence for the mobility of the future. It addresses industrial and societal challenges by providing high-level scientific and technological expertise to lead complex research and technology projects. Futuroscope, just outside the city, is a unique technology-driven theme park that combines immersive attractions with cutting-edge multimedia and virtual reality experiences. ISAE-ENSMA (École Nationale Supérieure de Mécanique et d’Aérotechnique) was the venue for ER 2025, while Futuroscope was the scene of the social event, making ER even more alluring. The ER Conference, with a nearly half-century tradition of nurturing high-end research in the field of conceptual modeling, is evolving to embrace the rapidly expand-ing landscape of artificial intelligence and digitalization everywhere. The theme of this year’s ER was “Building Trust Through Conceptual Modeling.” Building trust in digital ecosystems has gained heightened importance in an increasingly contested world. This year’s theme focused on the important role conceptual modeling plays in creating systems that are trustworthy, inclusive, and transparent. With this theme, we encouraged the conceptual modeling community to deliberate on how traditional modeling principles and frameworks can contribute and adapt to new advancements in AI, data ecosystems, and autonomous platforms while upholding ethical standards and fostering trust in digital innovations. While s​

Keywords:
conceptual modeling, conceptual modelling
Contributors:Bork, DominikSadiq, ShaziaBellatreche, LadjelPastor, Oscar
Language:
English
Publisher:
University of Virginia
Published Date:
October 31, 2025