USING LIGHTWEIGHT KNOWLEDGE MODELLING TO IMPROVE PROACTIVE INFORMATION DELIVERY

Oleg Rostanin, Heiko Maus, Takeshi Suzuki, Kaoru Maeda

2010

Abstract

The current work presents an integrated solution for task-centric proactive information delivery (PID) in agile knowledge working (AKW) environments. The approach exploits a lightweight incremental modeling of task relevant knowledge domains and process know-how using concept maps together with 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.

Paper Citation

in Harvard Style

Rostanin O., Maus H., Suzuki T. and Maeda K. (2010). USING LIGHTWEIGHT KNOWLEDGE MODELLING TO IMPROVE PROACTIVE INFORMATION DELIVERY . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 611-614. DOI: 10.5220/0002729106110614

in Bibtex Style

@conference{icaart10,
author={Oleg Rostanin and Heiko Maus and Takeshi Suzuki and Kaoru Maeda},
title={USING LIGHTWEIGHT KNOWLEDGE MODELLING TO IMPROVE PROACTIVE INFORMATION DELIVERY},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={611-614},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002729106110614},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - USING LIGHTWEIGHT KNOWLEDGE MODELLING TO IMPROVE PROACTIVE INFORMATION DELIVERY
SN - 978-989-674-021-4
AU - Rostanin O.
AU - Maus H.
AU - Suzuki T.
AU - Maeda K.
PY - 2010
SP - 611
EP - 614
DO - 10.5220/0002729106110614