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 (Google)
- 2. Colin Zheng (Google)
- 3. Romit Kudtarkar (Google)
BibTeX Citation
@inproceedings{shute_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{Semantic Data Modeling, Graph Query, and SQL, Together at Last?}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Shute, Jeff and Zheng, Colin and Kudtarkar, Romit},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 845 | Spanner: Becoming a SQL System | 2017 | SIGMOD | 0.00013660379 |
| 2,889 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.9935046e-05 |
| 4,367 | SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL | 2024 | VLDB | 6.7395125e-05 |
| 5,547 | Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction | 2025 | CIDR | 6.1790655e-05 |
| 7,116 | Measures in SQL | 2024 | SIGMOD | 5.6976548e-05 |
| 7,293 | JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models | 2025 | SIGMOD | 5.6533762e-05 |
| 8,272 | Shasta: Interactive Reporting At Scale | 2016 | SIGMOD | 5.4574671e-05 |
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