FANG Ting.Knowledge Mining Technology and Modes of Huge Amounts of Academic Literature Resources[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2017,41(4):7-10.[doi:10.3969/j.issn.2095-5707.2017.04.003]
海量学术文献资源的知识挖掘技术与模式
- Title:
- Knowledge Mining Technology and Modes of Huge Amounts of Academic Literature Resources
- 文章编号:
- 2095-5707(2017)04-0007-04
- 分类号:
- G250.7
- 文献标志码:
- A
- 摘要:
- 知识挖掘技术是采集检索海量学术文献资源所必需具备的。文章分析了知识挖掘的四大关键技术:联机分析挖掘技术、Web挖掘技术、数据仓库技术和信息可视化技术,重点研究了海量学术文献资源的用户知识挖掘和学科知识挖掘模式,详细探讨了海量学术文献资源知识挖掘创新模式:知识服务、Lotus知识发现、综合知识挖掘。
- Abstract:
- In this thesis, the necessity of applying knowledge discovery techniques to collecting huge amounts of academic literature resources is analyzed at first. The four key knowledge discovery techniques are then introduced: online analytic mining (OLAM) technique, Web mining technique, data warehouse(DW) technique, and information visualization technique. User knowledge mining mode and subject knowledge mining mode of huge amounts of academic literature resources are further studied empirically. At last, innovative knowledge mining modes of huge amounts of academic literature resources are discussed in details: knowledge service mode, Lotus knowledge discovery mode, and comprehensive knowledge mining mode.
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相似文献/References:
[1]张影.面向知识服务的图书馆知识挖掘系统构建探析[J].中国中医药图书情报杂志,2020,44(3):34.[doi:10.3969/j.issn.2095-5707.2020.03.009]
ZHANG Ying.Analysis on Construction of Library Knowledge Mining System for Knowledge Services[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2020,44(4):34.[doi:10.3969/j.issn.2095-5707.2020.03.009]
备注/Memo
收稿日期:2017-03-13
更新日期/Last Update:
2017-07-19