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| Content Provider | ACM Digital Library |
|---|---|
| Author | Maeda, Kaoru Suzuki, Takeshi Holz, Harald Kanasaki, Katsumi Rostanin, Oleg Dengel, Andreas |
| Abstract | Knowledge management approaches for weakly-structured, adhoc knowledge work processes need to be lightweight, i.e., they cannot rely on high upfront modeling efforts. This paper presents TaskNavigator, a novel prototype to support weakly-structured processes by integrating a standard task list application with a state-of-the-art document classification system. The resulting system allows for a task-oriented view on office workers' personal knowledge spaces in order to realize a proactive and contextsensitive information support during daily, knowledge-intensive tasks. Moreover, TaskNavigator supports process know-how reuse by proactively suggesting similar tasks or relevant process models, based on textual similarities. Finally, we report on a feasibility test and a case study that have been conducted in order to evaluate the system in the context of daily research task management and software requirements analysis. |
| Starting Page | 522 |
| Ending Page | 531 |
| Page Count | 10 |
| File Format | |
| ISBN | 1595934332 |
| DOI | 10.1145/1183614.1183689 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-11-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Process-oriented knowledge management Proactive information delivery Agile workflows |
| Content Type | Text |
| Resource Type | Article |
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