Geographic knowledge discovery from geo-referenced Web 2.0
Torpelund-Bruin, Christopher, and Lee, Ickjai (2008) Geographic knowledge discovery from geo-referenced Web 2.0. In: Proceedings of 2008 International Symposium on Intelligent Information Technology Application (3) pp. 291-294. From: 2008 International Workshop on Geoscience and Remote Sensing, 21 - 22 December 2008, Shanghai, China.
![[img]](https://researchonline.jcu.edu.au/style/images/fileicons/application_pdf.png) |
PDF (Published Version)
Restricted to Repository staff only |
Abstract
In this article, we propose a framework that combines geographic knowledge discovery and geo-referenced Web 2.0 in order to mine ever-increasing user supplied datasets. We examine the capabilities of Web 2.0 technologies and the process of geographic knowledge discovery. The combination of these two emerging fields overcomes the fundamental problems of geographic knowledge discovery. The proposed framework serves as a pattern detector and hypothesis generator that extracts interesting patterns from massive online datasets. Various case studies demonstrate the usefulness and robustness of our proposed framework.
| Item ID: | 7642 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 978-0-7695-3563-0 |
| Keywords: | knowledge discovery; geoweb; geospatial data mining; Voronoi diagram; Web 2.0 |
| Related URLs: | |
| Date Deposited: | 22 Apr 2010 03:38 |
| FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080604 Database Management @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified @ 50% |
| SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 70% 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 30% |
| Downloads: |
Total: 6 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |