PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Overcoming information overload in the enterprise : the active approach
Elena SIMPERL, Ian THURLOW, Paul WARREN, Frank DENGLER, John DAVIES, Marko Grobelnik, Dunja Mladenić, Jose Manuel GOMEZ-PEREZ and Carlos RUIZ MORENO
IEEE internet computing Volume 14, Number 9, pp. 39-46, 2010. ISSN 1089-7801

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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:7476
Deposited By:Jan Rupnik
Deposited On:17 March 2011