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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 OMICS A Journal of I...arrow_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
OMICS A Journal of Integrative Biology
Article . 2003 . Peer-reviewed
License: Mary Ann Liebert TDM
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Explaining Biology to Computers

Authors: Mark S. Tuttle;

Explaining Biology to Computers

Abstract

THE KEY TO INTEROPERATION and therefore to computer-empowerment in biology will be a technology infrastructure that supports the development and use of a repertoire of pragmatically driven, longitudinally maintained, terminology models that “explain biology to computers.” Called “Reference Terminology Models,” these resources name and relate concepts such as sequences, structures, and functions, in a way that computers can exploit on behalf of biologists. Thus, a computer can use an appropriate reference terminology to help it determine if a given represented concept in one computer is equivalent to or related to a represented concept in another computer. The computer science challenge is the creation of an infrastructure that supports the productive creation, deployment, maintenance, evolution and use of Reference Terminology Models. In short, such models will be successful only if they are part of a supported, scalable, longitudinal process, and the process needs to be supported technologically. Such an infrastructure would create much of what would be required for a Semantic Web for biology.

Keywords

Computers, Biology

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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!
0
Average
Average
Average
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