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Data exchange: semantics and query answering
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“Data exchange research [12] addresses cross-boundary consistency but not privacy-preserving forgetting over an evolving state trajectory.”
From Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory (2026) · cites this paper as [12]
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Data integration: a theoretical perspective
Maurizio Lenzerini, B. (2002) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS) · doi:10.1145/543613.543644 · Cited by 2,578
The complexity of satisfiability problems
Schaefer, T. J. (1978) · Proceedings of the tenth annual ACM symposium on Theory of computing - STOC '78 · doi:10.1145/800133.804350 · Cited by 1,737
Answering queries using views: A survey
Halevy, A. Y. (2001) · The VLDB Journal · doi:10.1007/s007780100054 · Cited by 1,510
Optimal implementation of conjunctive queries in relational data bases
Chandra, A. K., & Merlin, P. M. (1977) · Proceedings of the ninth annual ACM symposium on Theory of computing - STOC '77 · doi:10.1145/800105.803397 · Cited by 1,224
The complexity of relational query languages (Extended Abstract)
Vardi, M. Y. (1982) · Proceedings of the fourteenth annual ACM symposium on Theory of computing - STOC '82 · doi:10.1145/800070.802186 · Cited by 1,184
Testing implications of data dependencies
Maier, D., Mendelzon, A. O., & Sagiv, Y. (1979) · ACM Transactions on Database Systems · doi:10.1145/320107.320115 · Cited by 582
Levy, A. Y., Mendelzon, A. O., Sagiv, Y., & Srivastava, D. (1999) · The MIT Press eBooks · doi:10.7551/mitpress/4472.003.0012 · Cited by 538
Complexity of answering queries using materialized views
Abiteboul, S., & Duschka, O. M. (1998) · Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems · doi:10.1145/275487.275516 · Cited by 483
Popa, L., Velegrakis, Y., Miller, R. J., Hernández, M. A., & Fagin, R. (2002) · VLDB '02: Proceedings of the 28th International Conference on Very Large Databases · doi:10.1016/b978-155860869-6/50059-7 · Cited by 444
Self-citationSchema Mapping as Query Discovery
Miller, R. J., Haas, L. M., & Hernández, M. A. (2000) · Very Large Data Bases · Cited by 438
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Metadata
- Authors
- Fagin, R., Kolaitis, P. G., Miller, R. J., & Popa, L.
- Affiliations
- IBM Research - Almaden (US)
- University of California, Santa Cruz (US)
- University of Toronto (CA)
- Corresponding author
- Popa, Lucian
- Venue
- Theoretical Computer Science
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 336
- Issue
- 1
- Pages
- 89-124
- ISSN
- 0304-3975 (ISSN-L)
- OpenAlex
- W2102729564
- Cited by
- 1,206
- References
- 40
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 10 · 2023: 41 · 2022: 32 · 2021: 32 · 2020: 53 · 2019: 59 · 2018: 57 · 2017: 69 · 2016: 58 · 2015: 63 · 2014: 80 · 2013: 101 · 2012: 95
- FWCI
- 51.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 3035 d)
- Locations
- Theoretical Computer Science (publishedVersion)
- Funders
- National Science Foundation (9907419)
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- data exchange, query answering, universal solutions, algebraic specification, certain answers, canonical solutions, computational complexity, schema mapping
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.