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| Sascha Uelpenich, Freimut Bodendorf, "with a Knowledge Network Management System Supporting the Knowledge Life Cycle," 2013 46th Hawaii International Conference on System Sciences, vol. 4, pp. 112a, 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 4, 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/HICSS.2003.1174257, author = {Sascha Uelpenich and Freimut Bodendorf}, title = {with a Knowledge Network Management System Supporting the Knowledge Life Cycle}, journal ={2013 46th Hawaii International Conference on System Sciences}, volume = {4}, year = {2003}, isbn = {0-7695-1874-5}, pages = {112a}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2003.1174257}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2013 46th Hawaii International Conference on System Sciences TI - with a Knowledge Network Management System Supporting the Knowledge Life Cycle SN - 0-7695-1874-5 SP EP A1 - Sascha Uelpenich, A1 - Freimut Bodendorf, PY - 2003 KW - null VL - 4 JA - 2013 46th Hawaii International Conference on System Sciences ER - | |||
Knowledge management requires changes in processes, organizational structure and corporate culture. These changes are very often accompanied by the introduction of knowledge management systems that manage digital documents or facilitate unstructured co-operation in distributed teams. Although the technology very often plays the important role of an enabler, its main functions are in many cases limited to knowledge retrieval which is supported for example by full text search mechanisms. The acquisition and classification phase of the knowledge life cycle, i.e. the systematic collection of new knowledge and its integration into a pre-defined structure, are not facilitated in general.
In this paper, a system is presented that in addition to knowledge retrieval also supports the acquisition and classification phases of the knowledge life cycle. It is aligned to the requirements of consulting companies and is based on a model of a knowledge network that incorporates not only explicit knowledge but also relevant objects of its context.
