Title | ||
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Pushing scientific documents by discovering interest in information flow within e-science knowledge grid |
Abstract | ||
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The Knowledge Grid is an intelligent and sustainable Internet application environment that enables people and roles to effectively capture, publish, share and manage explicit knowledge resources. As an important function of the e-Science Knowledge Grid, this paper proposes an approach to effectively push scientific documents within research teams by detecting the social characteristics in self-organized network, discovering interest in information flow, and capturing dynamic changes of interests over time. The proposed approach can be used in any cooperative organizations. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11590354_63 | GCC |
Keywords | Field | DocType |
e-science knowledge grid,scientific document,research team,knowledge grid,information flow,important function,explicit knowledge resource,cooperative organization,dynamic change,explicit knowledge,self organization | Resource management,Information flow (information theory),Explicit knowledge,Computer science,e-Science,Information science,Knowledge management,Knowledge engineering,Grid,The Internet | Conference |
Volume | ISSN | ISBN |
3795 | 0302-9743 | 3-540-30510-6 |
Citations | PageRank | References |
1 | 0.36 | 21 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lianhong Ding | 1 | 11 | 4.98 |
Xiang Li | 2 | 145 | 12.11 |
Yunpeng Xing | 3 | 116 | 9.48 |