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

作者:

方婷

安徽省芜湖市图书馆，安徽 芜湖 241000

Author(s):

FANG Ting

Library of Wuhu City Anhui Province, Wuhu Anhui 241000, China

关键词:

海量学术文献资源; 知识挖掘; 知识发现

Keywords:

huge amounts of academic literature resource;  knowledge mining;  knowledge discovery

分类号:

G250.7

DOI:

10.3969/j.issn.2095-5707.2017.04.003

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.