Enhancing Access to Knowledge Management Literature — A Proposal for Domain-Based Classification Scheme and Thesaurus
Denise A. D. Bedford ()
Additional contact information
Denise A. D. Bedford: Kent State University, Kent, OH, USA
Journal of Information & Knowledge Management (JIKM), 2015, vol. 14, issue 01, 1-12
Abstract:
Knowledge organisation systems (KOS) include a variety of tools and methods for organising information and knowledge 'things'. When we refer to KOS we generally mean classification schemes, thesauri, semantic networks, and authority control systems. Most academic disciplines are supported by professionally developed and maintained KOS. This is not the case for knowledge management. Knowledge management is insufficiently treated in existing KOS. The research is exploratory in its approach to developing KOS tools for the field. It is engaging in that at every stage of development it leverages the knowledge and input of the larger knowledge management community.
Keywords: Classification schemes; knowledge discovery; knowledge management; knowledge organisation systems; thesauri; vocabulary development (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649215500069
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:14:y:2015:i:01:n:s0219649215500069
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219649215500069
Access Statistics for this article
Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh
More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().