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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 ACM SIGACT Newsarrow_drop_down
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
ACM SIGACT News
Article . 2008 . Peer-reviewed
License: https://www.acm.org/publications/policies/copyright_policy#Background
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Database theory column

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2008 English Publisher:Association for Computing Machinery (ACM)Journal:ACM SIGACT News, volume 39, pages 77-79 (issn: 0163-5700, Copyright policy )
Authors: Victor Vianu;

doi: 10.1145/1360443.1360460

Database theory column

Abstract

The 26th edition of the ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Databases (PODS), took place from 11 to 13 June 2007. As usual since 1991, the symposium was organized jointly with the ACM SIGMOD International Conference on Management of Data. While SIGMOD focuses on practical aspects of database systems, PODS focuses on the theory of such systems. The joint organization stimulates interaction between systems and theory research. For the first time ever the joint SIGMOD/PODS conference was held in Asia: it took place in Beijing, China.

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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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