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Knowledge-base/database consistency in a federated multidatabase environment

Authors: L. Kerschberg; L.J. Seligman;

Knowledge-base/database consistency in a federated multidatabase environment

Abstract

The paper describes a new approach to maintaining consistency between objects which reside in dynamic, shared databases and copies of those objects which are cached in application knowledge-bases. The approach relies on an intelligent interface to active databases, a mediator for approximate consistency (MAC). The MAC permits applications to specify their consistency requirements declaratively, using a simple extension of a frame-based representation language. It then automatically generates the interfaces and database objects necessary to enforce those consistency requirements, shielding the knowledge-base developer from the implementation details of consistency maintenance. While the authors focus on knowledge-base/database consistency issues, the approach is applicable to any component of a multidatabase federation which needs to cache dynamic data and to enforce some degree of consistency between itself and other components in the federation. >

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    popularity
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    influence
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citations
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!
5
Average
Average
Average
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