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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Youzhi Xu Ruibing Wang Daoping Wang Bingru Yang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing (Youzhi Xu; Ruibing Wang; Daoping Wang) |
| Abstract | Knowledge is an important resource to keep competitive advantage of enterprise. But traditional knowledge discovery system (KDS) is inefficient and its knowledge base is hard to maintain. Therefore this paper presents a new framework of KDS based on double-base cooperating mechanism (DCM), in which database can be restricted and driven by knowledge base whose structure can be in turn improved by database. At the same time, the precision and auto-cognition of knowledge discovery can be improved and knowledge base is equipped with the capacity of real time maintenance. At last the framework is applied to knowledge agriculture to illuminate its effectiveness. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 127331 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421077 |
| DOI | 10.1109/WiCom.2008.2515 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering Technology management Manufacturing processes Databases Engineering management Maintenance engineering Knowledge management Agriculture Topology Resource management |
| Content Type | Text |
| Resource Type | Article |
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