Geographic Knowledge Discovery from Web 2.0 Technologies for Advance Collective Intelligence

被引：0
|
作者：
Lee, Ickjai [1 ]
Torpelund-Bruin, Christophcer [1 ]
机构：
[1] Sch Business IT, Cairns Campus, Manunda, Qld 4870, Australia
来源：
INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS | 2011年 / 35卷 / 04期
关键词：
geographic knowledge discovery; collective intelligence; Web; 2.0; technologies; data mining; decision support;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Collective intelligence is currently a hot topic within the Web and Geoinformatics communities. Research into ways of producing advances with collective intelligence is becoming increasingly popular. This article introduces a novel approach to collective intelligence with the use of geographic knowledge discovery to determine spatially referenced patterns and models from the Geospatial Web which are used for supporting decisions. The article details the latest Web 2.0 technologies which make geographic knowledge discovery from the Geospatial Web possible to produce advanced collective intelligence. The process is explored and illustrated in detail, and use cases demonstrate the potential usefulness. Finally, potential pitfalls are discussed.
引用
收藏
页码：453 / 461
页数：9
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