The KG-ER Conceptual Schema Language
Enrico Franconi, Beno\^it Groz, Jan Hidders, Nina Pardal, S{\l}awek Staworko, Jan Van den Bussche, Piotr Wieczorek
TL;DR
The paper introduces KG-ER, a conceptual schema language designed to describe the structure and semantics of knowledge graphs across various representations such as relational databases, property graphs, and RDF.
Contribution
KG-ER provides a unified, representation-independent schema language that captures both the structure and semantics of knowledge graphs, facilitating better understanding and interoperability.
Findings
KG-ER effectively describes knowledge graph structures across multiple formats.
It captures semantic information to improve knowledge graph comprehension.
The language supports interoperability between different knowledge graph representations.
Abstract
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.
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Taxonomy
TopicsAdvanced Graph Neural Networks · Semantic Web and Ontologies · Graph Theory and Algorithms