Abstract
Knowledge-based systems support knowledge workers in those areas of their daily work which are crucial to achieve the business goals of an organization. An open scientific challenge is the derivation of organizational knowledge from the individual knowledge of the knowledge workers, and vice versa, to provide knowledge workers with the organizational knowledge they need for performing best their daily tasks. One approach to address this challenge is to design knowledge-based systems in a way which allows them to personalize the organizational knowledge to a variety of employees according to their personal needs. In this context, often “static” personalization concepts were developed in the past. Static personalization, however, does not take into account that an individual’s knowledge changes over time. The idea of this paper is to extend the traditional approach of static personalization towards “dynamic” personalization in the context of knowledge-based systems.
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Ulbrich, A., Kandpal, D., Tochtermann, K. (2004). Dynamic Personalization in Knowledge-Based Systems from a Structural Viewpoint. In: Hicks, D.L. (eds) Metainformatics. MIS 2003. Lecture Notes in Computer Science, vol 3002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24647-3_11
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DOI: https://doi.org/10.1007/978-3-540-24647-3_11
Publisher Name: Springer, Berlin, Heidelberg
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