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http://www.orm.net/pdf/dynamic...
Part of book or chapter of book
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https://doi.org/10.1007/119150...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
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Modeling Dynamic Rules in ORM

Authors: Balsters, H.; Carver, A.; Halpin, T.; Morgan, T.;

Modeling Dynamic Rules in ORM

Abstract

This paper proposes an extension to the Object-Role Modeling approach to support formal declaration of dynamic rules Dynamic rules differ from static rules by pertaining to properties of state transitions, rather than to the states themselves In this paper, application of dynamic rules is restricted to so-called single-step transactions, with an old state (the input of the transaction) and a new state (the direct result of that transaction) Such restricted rules are easier to formulate (and enforce) than a constraint applying historically over all possible states In our approach, dynamic rules specify an elementary transaction type indicating which kind of object or fact is being added, deleted or updated, and (optionally) pre-conditions relevant to the transaction, followed by a condition stating the properties of the new state, including the relation between the new state and the old state These dynamic rules are formulated in a syntax designed to be easily validated by non-technical domain experts.

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Netherlands
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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
15
Average
Top 10%
Top 10%