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Lightweight Conceptual Modeling and Concept-based Tagging for Proactive Information Delivery

Oleg Rostanin; Heiko Maus; Yingyan Zhang; Takeshi Suzuki; Kaoru Maeda
Ricoh Co. Ltd, Ricoh Technical Report (RTR), Vol. 35, 12/2009.

Abstract

During the lat decade, a plenty of approaches appeared claiming to find proper solutions for intelligent user assistance in knowledge intensive working environments. These solutions vary from a lightweight proactive information delivery (PID) based on a non-intrusive user observation to workflow-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 user`s information overflow, 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.

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