On Dependencies in Knowledge Graph Construction

Knowledge graph construction (KGC) requires numerous assets, such as shapes or mappings, to interact correctly. However, maintenance and assessment of the quality of the software implementing the construction is difficult, as software engineering analyses and quality measures to not address the technologies used in KGC. In this paper, we propose a syntactic, easy to compute notion of dependencies between assets, and show its capability to assess change propagation. Furthermore, we discuss potential to use it for coupling and impact estimation. We evaluate our approach using a prototypical implementation and a case study from the literature.

Palabras clave: Software Analysis, Knowledge Graph Construction, Change Propagation, Impact Analysis