KG4SDSE: Knowledge Graphs for Semantics-driven Systems Engineering
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.
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 discussed.
Lecture at NEMO2023
Date/Time: Monday, July 24, 2023 at 09:00