arXiv:2606.14309v1 Announce Type: cross Abstract: Property graphs may be constrained by schemas that inform both query engines and human users about the shape of valid data, enforcing a contract between data provider and consumer. Composable property-graph queries transform input graphs into output graphs. Then, the question arises of which schema can be expected after one (or several) transformation steps. We investigate how schema constraints can be inferred given an input schema and a transforming query. Specifically, we propose a reasoning procedure that, given an input schema in ProGS and
This paper explores theoretical computer science concepts related to graph database schemas and queries, representing incremental academic progress.
It is important for researchers and developers working on the theoretical underpinnings of graph databases and query languages, contributing to long-term software robustness.
This paper does not immediately change current practices but contributes to the foundational knowledge for future graph database schema management.
Improved theoretical understanding of property graph schema transformation.
Potential for more robust and automated schema management in advanced graph database systems.
Long-term impact on data integrity and interoperability in complex data environments using graph structures.
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Read at arXiv cs.AI