期刊名称：Issues in Informing Science and Information Technology
印刷版ISSN：1547-5840
电子版ISSN：1547-5867
出版年度：2008
卷号：5
页码：513-524
出版社：Informing Science Institute
摘要：In order to realize the objective of expanding library services to provide knowledge management
support for small businesses, a series of requirements must be met. This particular phase of a larger
research project focuses on one of the requirements: the need for a document classification
system to rapidly determine the content of digital documents. Document classification techniques
are examined to assess the available alternatives for realization of Library Knowledge Management
Centers (LKMCs). After evaluating prominent techniques the authors opted to investigate a
less well-known method, the Normalized Word Vector (NWV) approach, which has been used
successfully in classifying highly unstructured documents, i.e., student essays. The authors propose
utilizing the NWV approach for LKMC automatic document classification with the goal of
developing a system whereby unfamiliar documents can be quickly classified into existing topic
categories. This conceptual paper will outline an approach to test NWV’s suitability in this area.
关键词：Knowledge management, Competitive intelligence, Digital libraries, Document classification,
Normalized Word Vector, Library as Knowledge Management Center, Small enterprises
