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Temporal aggregation in active database rules (1997).
| Content Provider | CiteSeerX |
|---|---|
| Author | Motakis, Iakovos Zaniolo, Carlo |
| Abstract | An important feature of many advanced active database prototypes is support for rules triggered by complex patterns of events. Their composite event languages provide powerful primitives for event-based temporal reasoning. In fact, with one important exception, their expressive power matches and surpasses that of sophisticated languages offered by Time Series Management Systems (TSMS), which have been extensively used for temporal data analysis and knowledge discovery. This exception pertains to temporal aggregation, for which, current active database systems offer only minimal support, if any. In this paper, we introduce the language TREPL, which addresses this problem. The TREPL prototype, under development at UCLA, offers primitives for temporal aggregation that exceed the capabilities of state-of-the-art composite event languages, and are comparable to those of TSMS languages. TREPL also demonstrates a rigorous and general approach to the definition of composite event language sema... |
| File Format | |
| Publisher Date | 1997-01-01 |
| Access Restriction | Open |
| Subject Keyword | Temporal Aggregation Active Database Rule Current Active Database System Composite Event Language Sema Event-based Temporal Reasoning Trepl Prototype Expressive Power Match Language Trepl Important Exception Powerful Primitive Many Advanced Active Database Prototype Temporal Data Analysis General Approach Time Series Management System Tsms Language Sophisticated Language Complex Pattern Minimal Support Important Feature Knowledge Discovery State-of-the-art Composite Event Language Composite Event Language |
| Content Type | Text |
