Although KM systems are helpful for KM and increase organizational
effectiveness and competitiveness, they have technical limitations in maximizing
objectives of KM due to the following:
??? limitations of keyword-based search as well as limited knowledge categorization;
??? limitations to integration of heterogeneous systems as knowledge resources
and to integration of existing KM systems with Web resources;
??? inconvenience of KM systems use resulting from slow response and instability
of KM systems; and
??? time and space limitation in KM systems use and limitation of access methods
in KM systems.
Figure 9. Conceptual model for KM based on the Semantic Web
0 Joo, Lee, and Jeong
Copyright ?© 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission
of Idea Group Inc. is prohibited.
In this section, we focus on how to overcome the technical limitations through
the Semantic-Web-driven KM systems. Figure 10 shows the relationship between
Semantic Web technology, KM systems, and KM process. The capabilities such as
semantics and machine-processable, enabled by the Semantic Web technology, allows
the Semantic-Web-driven KM systems to have the opportunity to or possibility of
semantic integration and thus resolving information overload.
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