Magic sets and other strange ways to implement logic programs (extended abstract)
PODS '86 Proceedings of the fifth ACM SIGACT-SIGMOD symposium on Principles of database systems
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
The impact of logic programming on databases
Communications of the ACM
Implementation of magic-sets in a relational database system
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Materialized views: techniques, implementations, and applications
Materialized views: techniques, implementations, and applications
STREAM: the stanford stream data manager (demonstration description)
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Aurora: a data stream management system
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
AIMS: an SQL-based system for airspace monitoring
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
Supporting phase management in stream applications
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
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The Airspace Monitoring System (AIMS) monitors and analyzes flight data streams with respect to the occurrence of arbitrary, freely definable complex events. In contrast to already existing tools which often focus on a single task like flight delay detection, AIMS represents a general approach to a comprehensive analysis of aircraft movements, serving as an exemplary study for many similar scenarios in data stream management. In order to develop a flexible and extensible monitoring system, SQL views are employed for analyzing flight movements in a declarative way. Their definition can be easily modified, so that new anomalies can simply be defined in form of view hierarchies. The key innovative feature of AIMS is the implementation of a stream processing environment within a traditional DBMS for continuously evaluating anomaly detection queries over rapidly changing sensor data.