Geographic knowledge discovery from Web 2.0 technologies for advance collective intelligence

Abstract

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.