Ontology-Compliant Knowledge Graphs
This work addresses the challenge of harmonizing heterogeneous knowledge graphs for domains like building management, though it appears incremental in its methodological contributions.
The paper tackles the problem of constructing knowledge graphs that comply with ontologies to enhance explainability and interoperability, proposing novel term-matching algorithms and a pattern-based approach with new metrics, validated through a case study in the building sector.
Ontologies can act as a schema for constructing knowledge graphs (KGs), offering explainability, interoperability, and reusability. We explore \emph{ontology-compliant} KGs, aiming to build both internal and external ontology compliance. We discuss key tasks in ontology compliance and introduce our novel term-matching algorithms. We also propose a \emph{pattern-based compliance} approach and novel compliance metrics. The building sector is a case study to test the validity of ontology-compliant KGs. We recommend using ontology-compliant KGs to pursue automatic matching, alignment, and harmonisation of heterogeneous KGs.