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Why not negation by fixpoint?
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Source Symposium on Principles of Database Systems archive
Proceedings of the seventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems table of contents
Austin, Texas, United States
Pages: 231 - 239  
Year of Publication: 1988
ISBN:0-89791-263-2
Authors
Phokion G. Kolaitis  Computer Science Department, Stanford University, Stanford, CA
Christos H. Papadimitriou  Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGMOD: ACM Special Interest Group on Management of Data
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 31,   Citation Count: 24
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ABSTRACT

There is a fixpoint semantics for DATALOG programs with negation that is a natural generalization of the standard semantics for DATALOG programs without negation. We show that, unfortunately, several compelling complexity-theoretic obstacles rule out its efficient implementation. As an alternative, we propose Inflationary DATALOG, an efficiently implementable semantics for negation, based on inflationary fixpoints


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  24
 
 
 
 
 
 
Collaborative Colleagues:
Phokion G. Kolaitis: colleagues
Christos H. Papadimitriou: colleagues

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