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Temporal Aggregation in Active Database Rules.

Iakovos Motakis, Carlo Zaniolo: Temporal Aggregation in Active Database Rules. SIGMOD Conference 1997: 440-451
@inproceedings{DBLP:conf/sigmod/MotakisZ97,
  author    = {Iakovos Motakis and
               Carlo Zaniolo},
  editor    = {Joan Peckham},
  title     = {Temporal Aggregation in Active Database Rules},
  booktitle = {SIGMOD 1997, Proceedings ACM SIGMOD International Conference
               on Management of Data, May 13-15, 1997, Tucson, Arizona, USA},
  publisher = {ACM Press},
  year      = {1997},
  pages     = {440-451},
  ee        = {http://doi.acm.org/10.1145/253260.253359},
  crossref  = {DBLP:conf/sigmod/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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 semantics. The meaning of a TREPL rule is formally defined by mapping it into a set of Datalog1S rules, whose logic-based semantics characterizes the behavior of the original rule. This approach handles naturally temporal aggregates, including user-defined ones, and is also applicable to other composite event languages, such as ODE, Snoop and SAMOS.

Copyright © 1997 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Joan Peckham (Ed.): SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, May 13-15, 1997, Tucson, Arizona, USA. ACM Press 1997 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML, SIGMOD Record 26(2), June 1997
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