Taking Enterprise Architecture Engineering to the Next Level: Digital Twin-based Future-Oriented Enterprises

Gregor Engels, Paderborn University

Chair: Ulrich Frank

September 11th (Wednesday)

9:30 - 10:30

Over the past decades, Enterprise Architecture Management has been established as a core means to design and operate enterprises. It has been studied from a variety of perspectives, both academically and industrially. This has led to established concepts of architectural frameworks, model-based development methods, service-oriented system architectures, business process modeling techniques, data and information modeling, and cross-cutting concerns such as security or sustainability. More recently, the concept of a digital twin has been added as a means of monitoring and analyzing ongoing enterprises.

The question is whether the pure integration of all these concepts together with a sophisticated consistency handling will be sufficient to define, realize and operate the enterprises of the future. Or do we need to rethink all of this? Do we need to develop a much more holistic restructuring and engineering approach?

The keynote will reflect on these questions and propose an engineering approach for managing digital twin-based future-oriented enterprises. The talk is based on joint work with Burkhard Kehrbusch (Kehrbusch Management Consulting).

Bio

Gregor Engels has been Professor of Computer Science at Paderborn University, Germany, since 1997. Previously, he held the Chair of Software Engineering and Information Systems at the University of Leiden, The Netherlands. He was the initiator and director of the technology transfer institute SICP - Software Innovation Campus Paderborn. He was a member of the executive board of Informatics Europe, a network organization of computer science departments from all over Europe. His research interests are in the area of model-driven software development, software and enterprise architecture, software quality assurance, digital responsibility and digital twin engineering. Today, he works as an IT and business management consultant in digital transformation projects.

Leveraging Knowledge Graphs for Enhanced Business Intelligence: Bridging Data Silos and Unlocking Value

Katja Hose, TU Wien

Chair: Henderik A. Proper

September 12th (Thursday)

9:00 - 10:00

In today's data-driven landscape, seamlessly integrating and analyzing data from diverse sources is crucial for maintaining a competitive edge. Yet, many organizations face challenges with fragmented data silos, limiting their ability to extract meaningful insights. Knowledge graphs have emerged as essential tools for bridging these silos, enhancing information sharing, and tapping into the wealth of knowledge available from various sources, including the Web.

This talk will explore the architecture and principles of knowledge graphs, demonstrating how they improve semantic interoperability and enable flexible querying of integrated datasets, while also highlighting recent advancements, including the growing role of artificial intelligence in this domain.

Bio

Katja Hose is a full professor at the Databases and Artificial Intelligence research unit at TU Wien. She has previously held positions at Aalborg University and the Max Planck Institute for Informatics, and earned her PhD from Ilmenau University of Technology. Her research is deeply rooted in data and knowledge engineering, with a focus on graph databases, knowledge graphs, data integration, and applied machine learning. Katja has co-authored over 150 peer-reviewed publications and frequently reviews for a wide range of conferences and journals. She also serves as an editorial board member and associate editor for the VLDB Journal, the Semantic Web Journal, and Transactions on Graph Data and Knowledge.

Additionally, she has played significant organizational roles in major international conferences, including VLDB, SIGMOD, EDBT, TheWebConf/WWW, and ISWC, and has served as program co-chair for ISWC 2024, EDBT 2023, and ESWC 2021.