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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
Self-citation
Cited by
Items 601–700 of 1,001
Logic and Data Exchange: Which Solutions Are “Good” Solutions?
Hernich, A., & Schweikardt, N. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15164-4_4 · Cited by 7
An Update on Query Answering with Restricted Forms of Negation
Gutiérrez-Basulto, V., Ibáñez-García, Y. A., & Kontchakov, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33203-6_7 · Cited by 7
Concept-Based Exchange of Healthcare Information: The LinkEHR Approach
Maldonado, J. A., Moner, D., Boscá, D., Angulo, C., Marco-Ruiz, L., Reig, E., & Robles, M. (2011) · IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology · doi:10.1109/hisb.2011.18 · Cited by 7
On the Chase for All Provenance Paths with Existential Rules
Hecham, A., Bisquert, P., & Madalina Croitoru, A. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61252-2_10 · Cited by 7
Joseph, M., Kuper, G. M., Mossakowski, T., & Serafini, L. (2014) · Semantic Web · doi:10.3233/sw-140169 · Cited by 7
Data Access With Horn Ontologies: Where Description Logics Meet Existential Rules
Mugnier, M.-L. (2020) · Künstliche Intell. · doi:10.1007/s13218-020-00678-3 · Cited by 7
Kalinichenko, L., & Stupnikov, S. A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33074-2_17 · Cited by 7
Privacy in Database Publishing: A Bayesian Perspective
Deutsch, A. (2007) · Springer eBooks · doi:10.1007/978-0-387-48533-1_19 · Cited by 7
On equality-generating dependencies in ontology querying - preliminary report
Calì, A., & Pieris, A. (2011) · BIROn (Birkbeck, University of London) · Cited by 7
Semantic Bijectivity and the Uniqueness of Constant-Complement Updates in the Relational Context
Hegner, S. J. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88594-8_9 · Cited by 7
On the Interaction of Existential Rules and Equality Constraints in Ontology Querying
Calì, A., Gottlob, G., Orsi, G., & Pieris, A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30743-0_9 · Cited by 7
UPDATE PROCESSING IN INSTANCE-MAPPED P2P DATA SHARING SYSTEMS
Masud, M., Kiringa, I., & Ural, H. (2009) · International Journal of Cooperative Information Systems · doi:10.1142/s021884300900204x · Cited by 7
Data schema evolution support in XML-relational database systems
Симановский, А. А. (2008) · Programming and Computer Software · doi:10.1134/s0361768808010039 · Cited by 7
MostoDE: A tool to exchange data amongst semantic-web ontologies
Rivero, C. R., Hernández, I., Ruiz, D., & Corchuelo, R. (2013) · Journal of Systems and Software · doi:10.1016/j.jss.2013.01.037 · Cited by 7
Solutions in XML data exchange
Bojańczyk, M., Kołodziejczyk, L. A., & Murlak, F. (2011) · International Conference on Database Theory · doi:10.1145/1938551.1938567 · Cited by 7
Updating RDF/S Databases Under Constraints
Ferrari, M. H., & Laurent, D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66917-5_24 · Cited by 7
The Space-Efficient Core of Vadalog
Berger, G., Gottlob, G., Pieris, A., & Sallinger, E. (2022) · ACM Transactions on Database Systems · doi:10.1145/3488720 · Cited by 7
Testability of Homomorphism Inadmissibility: Property Testing Meets Database Theory
Chen, H., & Yoshida, Y. (2019) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS) · doi:10.1145/3294052.3319679 · Cited by 7
Challenges, Approaches and Solutions in Data Integration for Research and Innovation
Maurizio Lenzerini, B., & Daraio, C. C. (2019) · Springer handbooks · doi:10.1007/978-3-030-02511-3_15 · Cited by 7
JSON Schemas with Semantic Annotations Supporting Data Translation
Amaro, G., Moutinho, F., Campos-Rebelo, R., Köpke, J., & Maló, P. (2021) · Applied Sciences · doi:10.3390/app112411978 · Cited by 7
Preference-Based Integration of Relational Databases into a Description Logic
Curé, O., & Jochaud, F. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74469-6_83 · Cited by 7
Data Sharing and Querying for Peer-to-Peer Data Management Systems
Kementsietsidis, A. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30192-9_17 · Cited by 7
Data Integration and Exchange for Scientific Collaboration
Ives, Z. G. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02879-3_1 · Cited by 7
A comprehensive semantic framework for data integration systems
Calì, A., Lembo, D., & Rosati, R. (2004) · Journal of Applied Logic · doi:10.1016/j.jal.2004.07.022 · Cited by 7
One-to-many data transformations through data mappers
Carreira, P., Galhardas, H., Lopes, A., & Pereira, J. D. (2006) · Data & Knowledge Engineering · doi:10.1016/j.datak.2006.08.011 · Cited by 7
Interactive source registration in community-oriented information integration
Katsis, Y., Deutsch, A., & Papakonstantinou, Y. (2008) · Proceedings of the VLDB Endowment · doi:10.14778/1453856.1453887 · Cited by 7
Intelligent Search Agents for Web-Based Intelligent Tutoring Systems
Sun, Y. S., Xu, T., & Li, Z. (2008) · doi:10.1109/csse.2008.19 · Cited by 7
Query Answering using Views in the Presence of Dependencies.
Afrati, F., & Kiourtis, N. (2008) · DSpace - NTUA (National Technical University of Athens) · Cited by 7
Foundations of Query Answering in Relational Data Exchange
Hernich, A. (2010) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · Cited by 7
Abstraction in Data Integration
Cima, G., Console, M., Maurizio Lenzerini, B., & Poggi, A. (2021) · ACM/IEEE Symposium on Logic in Computer Science (LICS) · doi:10.1109/lics52264.2021.9470716 · Cited by 7
Semantic Foundations of Equality SaturationPreprint
Suciu, D. M., Wang, Y. R., & Zhang, Y. (2025) · arXiv (Cornell University) · doi:10.4230/lipics.icdt.2025.11 · Cited by 7
Psallidas, F., Agrawal, A., Sugunan, C., Ibrahim, K., Karanasos, K., Camacho-Rodríguez, J., Floratou, A., Curino, C., & Ramakrishnan, R. (2023) · Proceedings of the VLDB Endowment · doi:10.14778/3611540.3611555 · Cited by 6
Kiabora: An Analyzer of Existential Rule Bases
Leclère, M., Mugnier, M.-L., & Rocher, S. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39666-3_22 · Cited by 6
Semantic query optimization in the presence of types
Meier, M., Schmidt, M., Wei, F., & Lausen, G. (2013) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2013.01.010 · Cited by 6
The Future of Data Integration
Miller, R. J. (2017) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3097983.3105809 · Cited by 6
Self-citationThe OBDA-Based "Observatory of Research and Innovation" of the Tuscany Region.
Mosca, A., Rondelli, B., & Rull, G. (2017) · Open Research (University of Surrey) · Cited by 6
Amendola, G., & Libkin, L. O. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/233 · Cited by 6
Querying Conceptual Schemata with Expressive Equality Constraints
Calì, A., Gottlob, G., & Pieris, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24606-7_13 · Cited by 6
Chasing Streams with Existential Rules
Urbani, J., Krötzsch, M., & Eiter, T. (2022) · Principles of Knowledge Representation and Reasoning · doi:10.24963/kr.2022/43 · Cited by 6
Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs
Bellomarini, L., Laurenza, E., Sallinger, E., & Sherkhonov, E. (2022) · Theory and Practice of Logic Programming · doi:10.1017/s1471068422000412 · Cited by 6
Gen-T: Table Reclamation in Data Lakes
Fan, G., Shraga, R., & Miller, R. J. (2024) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde60146.2024.00272 · Cited by 6
Self-citationRetrospective on Clio: Schema Mapping and Data Exchange in Practice.
Miller, R. J. (2007) · Description Logics · Cited by 6
Self-citationGolfarelli, M., & Rizzi, S. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40683-6_14 · Cited by 6
Implementing Query Completeness Reasoning
Nutt, W., Paramonov, S., & Savković, O. (2015) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2806416.2806439 · Cited by 6
Representation systems for data exchange
Grahne, G., & Onet, A. (2012) · International Conference on Database Theory · doi:10.1145/2274576.2274599 · Cited by 6
Goal-Driven Query Answering for Existential Rules With Equality
Benedikt, M., Motik, B., & Tsamoura, E. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11563 · Cited by 6
Non-Monotonic Ontology-based Abstractions of Data Services
Cima, G., Maurizio Lenzerini, B., & Poggi, A. (2020) · Principles of Knowledge Representation and Reasoning · doi:10.24963/kr.2020/25 · Cited by 6
Existential active integrity constraints
Calautti, M., Caroprese, L., Greco, S., Molinaro, C., Trubitsyna, I., & Zumpano, E. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114297 · Cited by 6
Modeling and Querying Data in an Ontology-Based Data Access System
Pankowski, T. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.08.051 · Cited by 6
The notion of Abstraction in Ontology-based Data Management
Cima, G., Poggi, A., & Maurizio Lenzerini, B. (2023) · Artificial Intelligence · doi:10.1016/j.artint.2023.103976 · Cited by 6
Ontological Reasoning with F-logic Lite and its Extensions
Calì, A., Gottlob, G., Kifer, M., Lukasiewicz, T., & Pieris, A. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i1.7709 · Cited by 6
On simplification of schema mappings
Calvanese, D., Giacomo, G. D., Maurizio Lenzerini, B., & Vardi, M. Y. (2013) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2013.01.005 · Cited by 6
MostoDEx: A tool to exchange RDF data using exchange samples
Rivero, C. R., Hernández, I., Ruiz, D., & Corchuelo, R. (2014) · Journal of Systems and Software · doi:10.1016/j.jss.2014.10.033 · Cited by 6
Schema matching technique for heterogeneous web database
Jain, S., & Tanwani, S. (2015) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito.2015.7359275 · Cited by 6
Razor: Provenance and Exploration in Model-Finding
Saghafi, S., & Dougherty, D. J. (2018) · EPiC series in computing · doi:10.29007/tcvw · Cited by 6
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Chirkova, R. Y., & Yu, T. (2017) · Lecture notes in computer science · doi:10.1007/978-3-662-55608-5_1 · Cited by 6
OCL$$_\textsf {UNIV}$$: Expressive UML/OCL Conceptual Schemas for Finite Reasoning
Oriol, X., & Teniente, E. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-69904-2_28 · Cited by 6
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Gottlob, G., Manna, M., & Pieris, A. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/253 · Cited by 6
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Pichler, R., Sallinger, E., & Savenkov, V. (2011) · International Conference on Database Theory · doi:10.1145/1938551.1938566 · Cited by 6
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Bertossi, L., Chomicki, J., Godfrey, P., Kolaitis, P. G., Thomo, A., & Zuzarte, C. (2005) · ACM SIGMOD Record · doi:10.1145/1084805.1084825 · Cited by 6
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Li, X., Quix, C., Kensche, D., Geisler, S., & Guo, L. (2011) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2011.5767913 · Cited by 6
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Calvanese, D., Ceylan, İ. İ., Montali, M., & Santoso, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11558-0_36 · Cited by 6
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Li, F., Iida, T., & Ishikawa, Y. (2008) · Frontiers of Computer Science in China · doi:10.1007/s11704-008-0028-5 · Cited by 6
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Gottlob, G., Hernich, A., Kupke, C., & Lukasiewicz, T. (2021) · Journal of the ACM · doi:10.1145/3447508 · Cited by 5
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Arenas, M., Barceló, P., Fagin, R., & Libkin, L. O. (2013) · Information and Computation · doi:10.1016/j.ic.2013.06.002 · Cited by 5
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Glavic, B., Du, J. Y., Miller, R. J., Alonso, G., & Haas, L. M. (2011) · Proceedings of the VLDB Endowment · doi:10.14778/3402755.3402776 · Cited by 5
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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.