Mining knowledge flow for modeling the information needs of task-based groups

Chin Hui Lai*, Duen-Ren Liu

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Knowledge is the most important resource to create core competitive advantages for an organization. Such knowledge is circulated and accumulated by a knowledge flow (KF) in an organization to support worker's tasks. Workers may cooperate and participate in several task-based groups to fulfill their needs. In this paper, we propose a group-based knowledge flow mining algorithm which integrates information retrieval and data mining techniques for mining and constructing the group-based KF (GKF) for task-based groups. The GKF is expressed as a directed knowledge graph to represent the knowledge referencing behavior for a group of workers with similar task needs. The frequent knowledge referencing paths are identified from the knowledge graph to indicate the frequent knowledge flows of the workers. We also implement a prototype of GKF mining system to demonstrate the effectiveness of our proposed method.

原文English
主出版物標題2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
頁面64-69
頁數6
DOIs
出版狀態Published - 2008
事件2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008 - Las Vegas, NV, United States
持續時間: 13 7月 200815 7月 2008

出版系列

名字2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Conference

Conference2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
國家/地區United States
城市Las Vegas, NV
期間13/07/0815/07/08

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