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Meta-level control of rule execution in a parallel and distributed expert database system

Authors: H.M. Dewan; S.J. Stolfo;

Meta-level control of rule execution in a parallel and distributed expert database system

Abstract

The PARADISER system is a parallel and distributed programming environment for expert databases. It extends the memory model of expert systems to disk-resident databases, and adopts parallel and distributed processing to address expert system scaling issues. The kernel rule language, PARULEL, has parallel execution semantics and a metarule facility that allows for user-specified "programmable" conflict resolution. Under a parallel and distributed processing model of a rule language that has inherently parallel execution semantics, issues of distributed control assume paramount importance, since database consistency and synchronization must be guaranteed. We discuss various alternative strategies for implementing metarules within the PARADISER architecture. >

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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!
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Average
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