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 and semantic enrichment 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. We also aim to investigate their place in the Conceptual Modeling paradigm, specifically how Knowledge Graphs can enable new flavors of model-driven engineering or low-code engineering. Research advances on the interplay between Knowledge Graphs and Machine Learning or Natural Language Processing for systems engineering purposes are also welcome.
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
Application scenarios for Knowledge Graphs
Knowledge Graphs as mediators between data, stakeholders and software
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
The convergence of Deep Learning, Knowledge Graphs and 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
Human-oriented low-code Knowledge Graph building
Empirical studies and experience reports on Knowledge Graph-based information systems
All accepted papers will have to be presented in person by one registered author. Accepted papers that will not presented will be removed from the workshop proceedings.