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Aplicació de l’anàlisi de procedències al disseny del contingut de bases de dades

Application of precedence analysis to data base contents design
Authors: Olivé Ramon, Antoni;

Aplicació de l’anàlisi de procedències al disseny del contingut de bases de dades

Abstract

A la primera part de l'article, es fa una exposició de l'anàlisi de precedències entre conjunts d'informació i, en particular, de l'anàlisi de derivabilitat, en base al model relacional de dades. A la segona part, s'aplica l'anàlisi de precedència a alguns problemes que es presenten durant el disseny de bases de dades. Aquest problemes són: definició i validació dels requeriments d'una base de dades; disseny del contingut de la base de dades; i disseny de la dinàmica dels processos d'afegir, derivar i esborrar informacions de la base de dades. S'explica un exemple concret al qual s'aplica els conceptes i els mètodes proposats.

In the first part of the paper the precedence analysis of information sets, and particularly the derivability analysis based on the relational model are presented. In the second part precedence analysis is applied to some problems that occur in data base design. These problems are: data base requirements definition and validation, data base contents design, and the design of the dynamics of the processes of adding, deriving and deleting data base informations. A particular sample to which are applied the proposed concepts and methods is explained.

Country
Spain
Keywords

Ciències de la computació, Classificació AMS::68 Computer science::68P Theory of data, Computer systems

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selected citations
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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!
views
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