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Faculty of Mathematics, Physics & Computer Science

Data-Intensive Computing (AI VII) – Prof. Dr. Wim Martens

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Best Paper Award in SIGMOD Industry


Our paper "PG-Schema: Schemas for Property Graphs", co-authored with industry partners from Google, RelantionalAI, Neo4J, Amazon Web Services, data.world, Tigergraphs, Integral Data Solutions and colleagues from Chile, France, the Netherlands, Poland, and the UK, received the best paper award at the SIGMOD 2023 Industrial Track.

The paper is a first proposal on a schema language for property graphs. The PG-Schema language consists of PG-Types (for describing node types, edge types, their type inheritance, etc.) and PG-Keys (for constraints).

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