Re-Construction Impact on Metadata Representation Models

K-CAP(2023)

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Abstract
Reification in knowledge graphs has been present since the inception of RDF to allow capturing additional information in triples, usually metadata. The need of adopting or changing a metadata representation in a pre-existing graph to enhance the knowledge capture and access can lead to inducing complex structural changes in the graph, according the target representation’s schema. In these situations, it is necessary to decide whether to construct the knowledge graph again from its original sources, or to re-construct it using the current version of the graph. In this paper we conduct an empirical study to analyze which re-construction approach is more suitable for switching the representation approach from the created graph ensuring that the additional represented knowledge is preserved. We study four well-known metadata representations, using mapping languages to construct the graph, and SPARQL CONSTRUCT queries to re-construct it. With this work we aim to provide insights about the impact of re-construction on metadata representations interoperability and the implications of different approaches.
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