Name
Abstract | ||
|---|---|---|
A knowledge flow is invisible but it plays an important role in ordering knowledge exchange in teamwork. It can help achieve effective team knowledge management by modeling, optimizing, monitoring and controlling the operation of knowledge flow processes. This paper proposes the notion of knowledge energy as the driving cause of forming an autonomous knowledge flow network, and explores the behind principles. Knowing these principles can help team managers and the support systems improve cooperation by monitoring the knowledge energy of nodes, and by evaluating and adjusting knowledge flows. A knowledge flow network management system can be the high layer of the knowledge grid to help improve the efficiency of distributed knowledge-intensive teamwork. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/SKG.2005.86 | Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005 |
Keywords | Field | DocType |
knowledge flow networks,grid computing,knowledge exchange,autonomous knowledge flow network,knowledge flow,knowledge flow network management,knowledge flow network management system,knowledge management,effective team knowledge management,knowledge grid,knowledgeintensive teamwork,knowledge engineering,distributed knowledge-intensive teamwork,knowledge energy,knowledge flow processes,knowledge flow process,team manager,network management system | Teamwork,Data mining,Grid computing,Domain knowledge,Computer science,Mathematical knowledge management,Knowledge management,Knowledge engineering,Knowledge base,Network monitoring,Open Knowledge Base Connectivity | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
0-7695-2534-2 | 7 | 0.74 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hai Zhuge | 1 | 2155 | 159.14 |
| Weiyu Guo | 2 | 37 | 3.58 |
| Xiang Li | 3 | 145 | 12.11 |
| Lianhong Ding | 4 | 11 | 4.98 |