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Consistent query answers in inconsistent databases

Published: 01 May 1999 Publication History
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References

[1]
S. Agarwal, A.M. Keller, G. Wiederhold, and K. Saraswat. Flexible Relation: An Approach for Integrating Data from Multiple, Possibly Inconsistent Databases. In IEEE International Conference on Data Engineering, 1995.
[2]
M. Arenas, L. Bertossi, and M. Kifer. APC and Querying Inconsistent Databases. In preparation.
[3]
C. Baral, S. Kraus, J. Minker, and V.S. Subrahmanian. Combining Knowledge Bases Consisting of First- Order Theories. Computational Intelligence, 8:45-71, 1992.
[4]
E Bry. Query Answering in Information Systems with Integrity Constraints. In IFIP WG 11.5 Working Conference on Integrity and Control in Information Systems. Chapman &Hall, 1997.
[5]
U.S. Chakravarthy, J. Grant, and J. Minker. Logic- Based Approach to Semantic Query Optimization. ACM Transactions on Database Systems, 15(2):162- 207, 1990.
[6]
S. Chaudhuri and U. Dayal. An Overview of Data Warehousing and OLAP Technology. SIGMOD Record, 26, March 1997.
[7]
J. Chomicki and G. Saake, editors. Logics for Databases and Information Systems. Kluwer Academic Publishers, Boston, 1998.
[8]
T. Chou and M. Winslett. A Model-Based Belief Revision System. J. Automated Reasoning, 12:157-208, 1994.
[9]
Phan Minh Dung. Integrating Data from Possibly Inconsistent Databases. In International Conference on Cooperative Information Systems, Brussels, Belgium, 1996.
[10]
P. Gaerdenfors and H. Rott. Belief Revision. In D. M. Gabbay, J. Hogger, C, and J. A. Robinson, editors, Handbook of Logic in Artificial Intelligence and Logic Programming, volume 4, pages 35-132. Oxford University Press, 1995.
[11]
M. Gertz. Diagnosis and Repair of Constraint Violations in Database Systems. PhD thesis, Universitfit Hannover, 1996.
[12]
P. Godfrey, J. Grant, J. Gryz, and J. Minker. Integrity Constraints: Semantics and Applications. In Chomicki and Saake {7}, chapter 9.
[13]
H. Katsuno and A. Mendelzon. Propositional Knowledge Base Revision and Minimal Change. Artificial Intelligence, 52:263-294, 1991.
[14]
K.L. Kwast. A Deontic Approach to Database Integrity. Annals of Mathematics and Artificial Intelligence, 9:205-238, 1993.
[15]
J. Lin. A Semantics for Reasoning Consistently in the Presence of Inconsistency. Artificial Intelligence, 86(1- 2):75-95, 1996.
[16]
J. Lin and A. O. Mendelzon. Merging Databases under Constraints. International Journal of C~ooperative Information Systems, 7(1):55-76, 1996.
[17]
'W.W. McCune. OTTER 3.0 Reference Manual and Guide. Argonne National Laboratory, Technical Report ANL-94/6, 1994.
[18]
J.-J. Meyer, R. Wieringa, and E Dignum. The Role of Deontic Logic in the Specification of Information Systems. In Chomicki and Saake {7}, chapter 4.
[19]
Jean-Marie Nicolas. Logic for Improving Integrity Checking in Relational Data Bases. Acta Informatica, 18:227-253, lgP82.
[20]
J. Ullman. Principles of Database and Knowledge- Base Systems, Vol. I. Computer Science Press, 1988.

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cover image ACM Conferences
PODS '99: Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
May 1999
374 pages
ISBN:1581130627
DOI:10.1145/303976
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 May 1999

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  • (2024)Enriching Relations with Additional Attributes for ERProceedings of the VLDB Endowment10.14778/3681954.368198717:11(3109-3123)Online publication date: 30-Aug-2024
  • (2024)Making It Tractable to Detect and Correct Errors in GraphsACM Transactions on Database Systems10.1145/3702315Online publication date: 2-Nov-2024
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  • (2024)Combined Approximations for Uniform Operational Consistent Query AnsweringProceedings of the ACM on Management of Data10.1145/36516002:2(1-16)Online publication date: 14-May-2024
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