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+ | |Abstract=Knowledge workers are central to an organization's success, yet their information management tools often hamper their productivity. This has major implications for businesses across the globe because their commercial advantage relies on the optimal exploitation of their own enterprise information, the huge volumes of online information, and the productivity of the required knowledge work. The Active project addresses this challenge through an integrated knowledge management workspace that reduces information overload by significantly improving the mechanisms for creating, managing, and using information. The project's approach follows three themes: sharing information through tagging, wikis, and ontologies; prioritizing information delivery by understanding users' current-task context; and leveraging informal processes that are learned from user behavior. | ||
|ISSN=1089-7801 | |ISSN=1089-7801 | ||
|DOI Name=10.1109/MIC.2010.100 | |DOI Name=10.1109/MIC.2010.100 |
Version vom 12. November 2010, 14:36 Uhr
Overcoming information overload in the enterprise: the ACTIVE approach
Overcoming information overload in the enterprise: the ACTIVE approach
Veröffentlicht: 2010 November
Erscheinungsort: Los Alamitos, CA, USA
Journal: IEEE Internet Computing
Nummer: 6
Seiten: 39-46
Verlag: IEEE Computer Society
Volume: 14
Nicht-referierte Veröffentlichung
Kurzfassung
Knowledge workers are central to an organization's success, yet their information management tools often hamper their productivity. This has major implications for businesses across the globe because their commercial advantage relies on the optimal exploitation of their own enterprise information, the huge volumes of online information, and the productivity of the required knowledge work. The Active project addresses this challenge through an integrated knowledge management workspace that reduces information overload by significantly improving the mechanisms for creating, managing, and using information. The project's approach follows three themes: sharing information through tagging, wikis, and ontologies; prioritizing information delivery by understanding users' current-task context; and leveraging informal processes that are learned from user behavior.
ISSN: 1089-7801
DOI Link: 10.1109/MIC.2010.100