Publikation
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.
Zusammenfassung
During the last decade, a plenty of approaches for intelligent
user assistance in knowledge intensive working environments were developed. 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, organizations, knowledge domains and task specific 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 find an optimal integrated solution for user assistance in agile knowledge working environments that exploits 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