TY - GEN
T1 - Task-stage knowledge support
T2 - 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
AU - Wu, I. Chin
AU - Liu, Duen-Ren
AU - Chen, Wei Hsiao
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Effective knowledge support in knowledge-intensive environments can place great demands on information filtering (IF) strategies. An IF system that relies on traditional information retrieval technology and user models (e.g., user profiles) is regarded as an effective approach for supporting long-term information needs. To provide a more effective knowledge support, we propose a task-stage knowledge support model that incorporates the advantages of the traditional IF model with the characteristics of each task-stage. A correlation analysis method is proposed to determine a worker's task-stage (e.g., pre-focus, focus formulation, and post-focus task stages), and an ontology-based topic discovery method is proposed to examine the variety of a worker's information needs for specific topics. Consequently, the knowledge support is achieved by coupling user information needs with task-stage identification.
AB - Effective knowledge support in knowledge-intensive environments can place great demands on information filtering (IF) strategies. An IF system that relies on traditional information retrieval technology and user models (e.g., user profiles) is regarded as an effective approach for supporting long-term information needs. To provide a more effective knowledge support, we propose a task-stage knowledge support model that incorporates the advantages of the traditional IF model with the characteristics of each task-stage. A correlation analysis method is proposed to determine a worker's task-stage (e.g., pre-focus, focus formulation, and post-focus task stages), and an ontology-based topic discovery method is proposed to examine the variety of a worker's information needs for specific topics. Consequently, the knowledge support is achieved by coupling user information needs with task-stage identification.
UR - http://www.scopus.com/inward/record.url?scp=33745725634&partnerID=8YFLogxK
U2 - 10.1109/IRI-05.2005.1506443
DO - 10.1109/IRI-05.2005.1506443
M3 - Conference contribution
AN - SCOPUS:33745725634
SN - 0780390938
SN - 9780780390935
T3 - Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
SP - 19
EP - 24
BT - Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
Y2 - 15 August 2005 through 17 August 2005
ER -