Keywords: Knowledge Graphs, Ontology Evolution, Mapping Rules, Impact Assessment
TL;DR: Approach for propagating changes in an ontology to mappings.
Abstract: Knowledge Graphs (KGs) are usually constructed through a set of data transformation pipelines that
transform heterogeneous sources into triples following a set of rules. These rules, usually in the form of
mapping rules (e.g., RML, R2RML, etc.), are a key resource for the construction of the KG as they describe
the relationship between the input data sources and the ontology terms. Several efforts have been made
to manage and describe the evolution of the ontology; however, its propagation over interrelated assets
(e.g., mapping rules) is commonly done in manual processes. In this paper, we present a first preliminary
approach to automatically project the evolution of the ontology on the mapping rules used to construct
the KG. For each potential change, we analyse the impact on the mappings and the required steps to
ensure that the KG is up-to-date w.r.t. the ontology. We implement our solution in fully declarative
workflows and demonstrate its benefits in a real-world project in the public procurement domain.
Submission Number: 1
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