Proceedings-Artikel
Using Concept Maps to Improve Proactive Information Delivery in TaskNavigator
Oleg Rostanin; Heiko Maus; Takeshi Suzuki; Kaoru Maeda
In: Rossitza Setchi; Ivan Jordanov; Robert J. Howlett; Lakhmi C. Jain (Hrsg.). Knowledge-Based and Intelligent Information and Engineering Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-10), September 8-10, Cardiff, Wales, United Kingdom, Pages 639-648, Lecture Notes in Computer Science (LNCS), Vol. 6276, ISBN 978-3-642-15386-0, Springer, Heidelberg, 9/2010.
Abstract
During the last decade, a plenty of approaches for intelligent user assistance in knowledge intensive working environments were de- veloped. These solutions vary from a lightweight proactive information delivery (PID) based on a non-intrusive user observation to work ow- based assistance that requires formal modeling of processes, organiza- tions, knowledge domains and task speci c information needs. Whereas lightweight solutions have low precision and sometimes yet increase the users information over ow, approaches based on sophisticated modeling have severe problems with bootstrapping and maintenance. The work presented in the current paper aims to nd an optimal integrated solu- tion for user assistance in agile knowledge working environments that ex- ploits a lightweight incremental modeling of task relevant knowledge and process know-how using concept maps and concept-based task tagging to improve the quality of PID results. The feasibility of the described approach was proved during the joint research project TaskNavigator conducted by Ricoh Co. Ltd and DFKI GmbH
Projekte
VOF-Ricoh
ADiWa
Ricoh Demoroom