Logic, algebra and databases
Efficiently updating materialized views
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
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SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
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IEEE Transactions on Software Engineering
A commentary on the POSTGRES rules system
ACM SIGMOD Record
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ACM SIGMOD Record
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SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Rule management in expert database systems
Management Science
The Iris Architecture and Implementation
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Starburst Mid-Flight: As the Dust Clears
IEEE Transactions on Knowledge and Data Engineering
Coupling Production Systems and Database Systems: A Homogeneous Approach
IEEE Transactions on Knowledge and Data Engineering
Optimizing the Rule-Data Interface in a KMS
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Data Management for Large Rule Systems
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Proceedings of the ninth international conference on Information and knowledge management
Evaluation of Materialized View Indexing in Data Warehousing Environments
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Some issues in design of data warehousing systems
Data warehousing and web engineering
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In intelligent database systems, knowledge-directed inference often derives large amounts of data, and the efficiency of query processing in these systems depends upon how the derived data are maintained. This paper focuses on situations where the rule is conditional on a join of multiple data objects (relations) and the rule-derived data are materialized to reduce the overall query processing costs. We develop an indexing technique based on a unique construct called join pattern relation. Several pattern redundancy reduction methods are also introduced to minimize the overhead cost of join indexing.