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 |
|---|---|---|---|---|
| 1,015 | Spanner: Becoming a SQL System | 2017 | SIGMOD | 0.00014638696 |
| 3,355 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.1829142e-05 |
| 5,012 | SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL | 2024 | VLDB | 5.7599595e-05 |
| 5,411 | Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction | 2025 | CIDR | 5.5207515e-05 |
| 7,030 | Measures in SQL | 2024 | SIGMOD | 4.8562362e-05 |
| 7,194 | JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models | 2025 | SIGMOD | 4.8037242e-05 |
| 7,953 | Shasta: Interactive Reporting At Scale | 2016 | SIGMOD | 4.613363e-05 |
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