Collaborative Annotation for Scientific Data Discovery and Reuse.

Human classification alone, unable to handle the enormous quantity of project data, requires the support of automated machine-based strategies. In collaborative annotation, humans and machines work together, merging editorial strengths in semantics and pattern recognition with the machine strengths...

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Bibliographic Details
Published in:Bulletin of the Association for Information Science & Technology Vol. 39; no. 4; pp. 44 - 46
Main Author: Borne, Kirk
Format: Journal Article
Published: Wiley-Blackwell Apr/May2013
Online Access:View this record in EBSCOhost