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Counting methods for cyclic relations
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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: 333 - 340  
Year of Publication: 1988
ISBN:0-89791-263-2
Authors
Ramsey W. Haddad  Computer Science Department, Stanford University, Stanford, CA
Jeffrey F. Naughton  Computer Science Department, Princeton University, Princeton, NJ
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
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Downloads (6 Weeks): 3,   Downloads (12 Months): 12,   Citation Count: 9
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ABSTRACT

In this paper we consider selections of the form “column = constant” on relations defined by linear recursive, two rule datalog programs. In general, counting methods perform well on such queries. However, counting methods fail in the presence of cycles in the database. We present an algorithm in the spirit of counting methods that correctly deals with cyclic data and has the same asymptotic running time as counting methods. The algorithm, which is based on reducing a query on a database to a question about intersections of semi-linear sets, works by using efficient methods to construct the appropriate semi-linear sets from the database and query constant.


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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R.E. Tarjan. Depth first search and linear graph algorathms SL4M Journal of Computzng, 1(2) 146-160. 1972.

CITED BY  9
Collaborative Colleagues:
Ramsey W. Haddad: colleagues
Jeffrey F. Naughton: colleagues