The KG-ER Conceptual Schema Language
Enrico Franconi, Benoît Groz, Jan Hidders, Nina Pardal, Sławek Staworko, Jan Van den Bussche, Piotr Wieczorek
arXiv:2508.02548v21 citationsh-index: 32
Originality Synthesis-oriented
AI Analysis
This addresses the need for a unified schema language for knowledge graphs, but appears incremental as it builds on existing conceptual modeling approaches.
The authors tackled the problem of describing knowledge graph structure independently of representation by proposing KG-ER, a conceptual schema language that helps capture semantics.
We propose KG-ER, a conceptual schema language for knowledge graphs that describes the structure of knowledge graphs independently of their representation (relational databases, property graphs, RDF) while helping to capture the semantics of the information stored in a knowledge graph.