Semantic Data Modeling, Graph Query, and SQL, Together at Last?
Summary: Introduce SQL extensions to define semantic data graph views, treating semantic models as property graphs so business logic and metrics become first-class, queryable SQL artifacts. Make declared FKs usable for joins and add SQL/PGQ-style graph traversal to query them directly. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jeff Shute
- 2. Colin Zheng
- 3. Romit Kudtarkar
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,008 | Spanner: Becoming a SQL System | 2017 | SIGMOD | 0.00014663067 |
| 3,344 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.1944106e-05 |
| 5,011 | SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL | 2024 | VLDB | 5.7544221e-05 |
| 5,419 | Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction | 2025 | CIDR | 5.5154502e-05 |
| 7,032 | Measures in SQL | 2024 | SIGMOD | 4.8515775e-05 |
| 7,193 | JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models | 2025 | SIGMOD | 4.7991166e-05 |
| 7,956 | Shasta: Interactive Reporting At Scale | 2016 | SIGMOD | 4.6089395e-05 |
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