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Volume 5 Issue 4
Barcelona 2007
Building a Taxonomy for Understanding Knowledge Management
Kun Nie1, Tieju Ma,1,2, and Yoshiteru Nakamori1
1Graduate School of Knowledge Science, Advanced Institute of Science and Technology, Japan
2 International Institute for Applied Systems Analysis, Austria
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“Knowledge Management” (KM) has emerged as a new emerging research area owing to its importance in both industry and academia. Nevertheless, literature analysis and our survey indicated the presence of much confusion of understanding it, different people means different things when they use this term.
A better and holistic understanding of KM promises to help people share and transfer knowledge within this domain, and thus speed up development of this research area. For this reason, two significant things need to be figured out, one is an intensive clarification rather than giving a simple definition of KM, the other is to see how this new research topic is related to other current existing research topics. Therefore, in our work, two studies have been carried out to achieve these purposes. The first study investigates leading peer-reviewed journals regarding KM by applying domain analysis methodology to provide a taxonomy for understanding six essential issues about KM: that is, why to use KM, what enables and triggers KM, what to deal with in KM, how to implement KM, how to support KM by information technologies, and where has KM been applied. The second study examines KM within a more general disciplinary called Knowledge Science, which gives a description of how KM is related to other research topics, by building an ontology structure of research topics within the community of Graduate School of Knowledge Science at Japan Advanced Institute of Science and Technology (JAIST).
Our results suggested a taxonomy for understanding KM concisely and clearly, and how KM research is conducted and related to other research topics within a given typical graduate school. These findings are very important for both understanding and developing KM research area.
Keywords:
knowledge management, domain analysis, ontology
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