Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases¶
Sheth, A. P., & Larson, J. A. (1990). Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases. ACM Computing Surveys, 22(3), 183-236.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Schema Context Diff
- The contradictions that would have produced mysterious downstream failures ("why are these 'active' customers not logging in?") are caught as schema-level diffs, exactly the semantic heterogeneity
This sourceIdentifies semantic heterogeneity across autonomous database schemas as a central obstacle to integration.
- The contradictions that would have produced mysterious downstream failures ("why are these 'active' customers not logging in?") are caught as schema-level diffs, exactly the semantic heterogeneity
- Type Compatibility Checklist
- The underlying hazard has a name — semantic heterogeneity, the data-integration problem where identically-named fields carry different meanings across sources.
This sourceSheth and Larson define semantic heterogeneity as disagreement over data meaning and illustrate the problem with identically named attributes having different semantics across databases.
- The underlying hazard has a name — semantic heterogeneity, the data-integration problem where identically-named fields carry different meanings across sources.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
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Registry ID ref:ffc81df01639 · see in the full table