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A Life Science Semantic Web: Are We There Yet?

More than ever, life science researchers depend on information from multiple sources. The Semantic Web offers a powerful new strategy for consolidating both text and structured data into a comprehensive collections and views. In addition, these aggregates are readable by both humans and machines and could be the basis of information management and knowledge exchange.

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Classifications


Resource Type: Diagram, Illustration, Journal article/Issue, Review
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright


Authors and Editors: Eric Neumann of Sanofi-Aventis Pharmaceuticals
Publisher: American Association for the Advancement of Science
Format: application/pdf, image/gif, image/jpeg, text/html
Copyright and other restrictions: Yes
Cost: Yes

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Collection:
STKE/Science Signaling


     
   

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