Abstract | ||
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It is a well known fact that a wealth of knowledge lies in the head of employees making them one of the most or even the most; valuable asset of organisations. But often this knowledge is not documented and organised in knowledge systems as required by the organisation, but informally shared. Of course this is against; the organisation's aim for keeping knowledge reusable as well as easily and permanently available independent of individual knowledge workers. In this contribution we suggest a solution which captures the collective knowledge to the benefit of the organisation and the knowledge worker. By automatically identifying activity patterns and aggregating them to tasks as well as by assigning resources to these tasks, our proposed solution fulfils the organisation's need for documentation and structuring of knowledge work. On the other hand it fulfils the the knowledge worker's need for relevant, currently needed knowledge, by automatically milling the entire corporate knowledge base and providing relevant, context dependent information based on his/her current task. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-642-00328-8_68 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
knowledge systems,business process | Systems engineering,Domain knowledge,Computer science,Personal knowledge management,Knowledge transfer,Knowledge-based systems,Knowledge management,Knowledge value chain,Knowledge engineering,Organizational learning,Knowledge base,Process management | Conference |
Volume | ISSN | Citations |
17 | 1865-1348 | 4 |
PageRank | References | Authors |
0.44 | 11 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Granitzer | 1 | 822 | 80.14 |
Gisela Granitzer | 2 | 60 | 5.49 |
Klaus Tochtermann | 3 | 405 | 70.25 |
Stefanie N. Lindstaedt | 4 | 544 | 61.48 |
Andreas S. Rath | 5 | 80 | 7.56 |
Wolfgang Groiß | 6 | 4 | 0.44 |