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arXiv · 2606.18297

From Embedded Properties to Trait Nodes: A Design Method for Identifying Reusable Metadata in Property Graph Schemas

Yahya Sa'd·Renzo Angles·Vojtech Merunka·Roberto Garcia·Karel Klima·Pavel Beranek
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Abstract

Property-graph schemas often contain descriptive properties that recur across heterogeneous nodes and edges, yet schema designers lack a clear method for deciding whether such properties should remain embedded or be treated as reusable metadata structures. This paper addresses this design-stage problem within a 5GNF-oriented modeling perspective by proposing a method for identifying metadata candidates based on five criteria: cross-element occurrence, conceptual independence, lossless externalization, reuse potential, and governance relevance. The method classifies properties into trait candidates, embedded properties, and borderline cases using a rule-based decision workflow. The approach is illustrated using a running example from a library domain and examined through an illustrative validation involving participant-based classification tasks in two schema contexts. The results show that recurrence alone is not a sufficient basis for externalization and that metadata-candidate identification requires semantic interpretation beyond frequency. The main contribution of the paper is methodological: it provides a more explicit and systematic basis for deciding when descriptive properties should be modeled as reusable metadata in property-graph schemas.

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Yahya Sa'd, Renzo Angles, Vojtech Merunka, Roberto Garcia, Karel Klima, Pavel Beranek. 2026-06-15. From Embedded Properties to Trait Nodes: A Design Method for Identifying Reusable Metadata in Property Graph Schemas. https://arxiv.org/abs/2606.18297

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