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Conference object . 1996
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 1996 . Peer-reviewed
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Conference object . 2017
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The PARK semantics for active rules

Authors: Gottlob, Georg; Moerkotte, Guido; Subrahmanian, V. S.;

The PARK semantics for active rules

Abstract

Active databases are an important topic of current database research. However, the semantics of the underlying mechanism, event-condition-action rules (or ECA rules for short), is unclear so far. In order to define a clear semantics for sets of active rules, we first derive the requirements such a semantics must fulfill. Since currently no semantics fulfills these requirements, we continue with the definition of the PARK semantics adhering to all requirements. The PARK semantics is a smooth integration of inflationary fixpoint semantics [7] with conflict resolution. Through this approach, the PARK semantics is powerful enough to deal with recursive active rules. Furthermore, the actual conflict resolution strategy is a parameter of the PARK semantics. This guarantees a wide range of applicability.

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United Kingdom, Germany
Keywords

004

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
Green