The goal of this workshop is to stimulate research work about how Knowledge Graphs can add context and flexibility to information systems, enabling semantic enrichment and reasoning capabilities for their operation or engineering processes.

Knowledge Graphs have been primarily investigated as engineered artifacts by themselves – from their underlying formalisms (e.g. description logics), enabling technologies (e.g. RDF, LPG) to their knowledge management, semantic enrichment and integration capabilities. With this workshop we aim to shift focus from what Knowledge Graphs are or how they can be built towards how they can be relevant to Information Systems engineering. Research advances on the interplay between Knowledge Graphs, Machine Learning and Large Language Models for systems engineering purposes are of particular interest to our workshop, towards establishing novel knowledge flows and knowledge-based system architectures.

Various stages of research maturity can be reported in the workshop contributions - from position and vision papers to experience reports and full research papers.

Relevant Topics
• Information Systems engineering methods based on Knowledge Graphs
• The convergence of Knowledge Graphs, Large Language Models and systems engineering
• Application scenarios for Knowledge Graphs
• Knowledge Graphs as mediators between data, stakeholders and large language models
• Knowledge Graphs for model-driven engineering
• Linking, transforming or augmenting domain-specific models with Knowledge Graphs
• Knowledge Graphs informed by system theories and system engineering conceptualizations
• Machine reasoning for Information Systems engineering
• Knowledge Graph embeddings and graph neural networks
• Requirements engineering based on Knowledge Graphs
• System design and analysis augmented by Knowledge Graphs
• Knowledge Graphs for Digital Twins and digital-first artifacts
• Citizen-centric low-code Knowledge Graph management
• Empirical studies and experience reports on Knowledge Graph-based information systems


Workshop Chairs:

Robert Buchmann (robert.buchmann@ubbcluj.ro), Babeș-Bolyai University, Romania
Dimitris Karagiannis (dk@dke.univie.ac.at), University of Vienna, Austria
Dimitris Plexousakis (dp@ics.forth.gr), Institute of Computer Science, FORTH and University of Crete, Greece

Web Presence Chair:

Iulia Vaidian (iulia.vaidian@omilab.org), OMiLAB NPO, Germany

Workshop Program Committee
To be confirmed

Submission Guidelines

Submission link (pick the KG4SDSE workshop from the tracks listed there):
https://easychair.org/my/conference?conf=caise2025

We invite two types of paper contributions:
Full papers which can be regular research or experience papers (9-12 pages)
Short papers which can be position or vision papers (6-8 pages)

Since we plan have the accepted papers in CAiSE’s LNBIP volume for workshops, formatting must comply with the Springer proceedings guidelines available at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines (both Word and Latex templates are available there).

All accepted papers will have to be presented in person by one registered author. Accepted papers that will not be presented will be removed from the workshop proceedings.