What Does Knowledge Organization Mean in a Big Data Environment?
Authors
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Dalhousie University, Halifax, Nova Scotia
Michael Shepherd -
Dalhousie University, Halifax, Nova ScotiaCarolyn Watters
DOI:
https://doi.org/10.17821/srels/2013/v50i6/43830Keywords:
Knowledge Organization, Big Data, Web Environment, Digital Environment.Abstract
Big Data changes the context and functional requirements of knowledge organization. It is necessary to view knowledge organization through the lens of Big Data, in particular, through the dimensions of Volume, Velocity, Variety and Veracity, as well as through the Functional Goals of the user. In this paper, we explore the challenges of knowledge organization in the Big Data Environment and suggest that knowledge organization must evolve to support the integration of structured, semi-structured, and unstructured data (Variety), support real time use of streaming data (Velocity), and provide confidence and support metrics (Veracity), all in the support of the functional goals of the user.
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All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.
Accepted 2013-12-26
Published 2013-12-12
