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Approximating Certain and Possible Answers Beyond Sets

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Generalizes certain and possible answers from set semantics to semiring-annotated relations, proving that lattice-ordered semirings let query evaluation produce PTIME under-approximations of certain answers and over-approximations of possible answers; extends the model with attribute-level intervals into UA-DBs that remain closed under full relational algebra including aggregation and sort-based ops; provides two implementations (including GProM) and demonstrates feasible execution on TPCH 1GB with measurable but reducible overhead.

AI-written summary · about

  1. 0:00Introduction
  2. 1:11Incomplete databases
  3. 2:35Desired properties
  4. 4:01Semirings for databases
  5. 6:33K-relations semantics
  6. 7:15Defining certain and possible annotations
  7. 8:59Certain vs possible answers
  8. 12:10Mapping uncertainty models
  9. 12:52UA-DBs overview
  10. 15:00Bound-preserving semantics
  11. 17:07Handling difference operator
  12. 18:10Datalog for UA-DBs
  13. 19:14Existing works trade-offs
  14. 20:22Aggregations challenges
  15. 22:30Interval domains
  16. 25:01Attribute uncertainty bounds
  17. 26:06Semiring relations algebra
  18. 27:31Aggregations with intervals
  19. 28:59Group by sorting uncertain
  20. 29:42Conclusion future work
  21. 31:06Practical demo
  22. 32:11Q&A
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