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Information and Software Technology
Article . 2001 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Building deductive object-oriented database systems in the ODMG era

Authors: Falcone Sampaio, Pedro R.;

Building deductive object-oriented database systems in the ODMG era

Abstract

Deductive object-oriented database systems (DOODs) have been a subject of intensive research for the last 13 years, with results embodied in several research prototypes and one commercial system produced so far [1]. However, despite the considerable number of systems available, there has been surprisingly little work on organising and analysing the several system architectures and query processing strategies that have been employed in the construction of DOODs. Furthermore, with the consolidation of the ODMG specification as a standard for object databases, it is important to assess which architectural approach is better suited for building DOODs considering the ODMG framework. This paper categorises several representative DOOD systems based on their architecture and query processing approach, and provides an analysis of the issues involved in building DOOD systems compliant with the ODMG standard. © 2001 Elsevier Science B.V.

Country
United Kingdom
Related Organizations
Keywords

Deductive databases, ODMG standard, Object databases, DBMS architectures

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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!
0
Average
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