Segmentation and mapping of user-driven geospatial web data
Torpelund-Bruin, Christopher, and Lee, Ickjai (2010) Segmentation and mapping of user-driven geospatial web data. Proceedings of 6th International Conference on Advanced Information Management and Service. IMS 2010 6th International Conference on Advanced Information Management and Service , 30 November - 2 December 2010, Seoul, Korea , pp. 73-77.
|PDF (Published Version) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
View at Publisher Website: http://ieeexplore.ieee.org/search/freesr...
The Internet has penetrated to every aspect of our daily life. Users are feeding their georeferenced knowledge, preference, consumer patterns and behaviors, likes and dislikes, and living patterns to the Web. Proper understanding of these user-provided georeferenced Web data is of great importance. This article combines Web 2.0 and Geospatial Web to retrieve and map user-driven data, and mixes clustering and segmentation to identify informative cluster weighted areas of influence. Case studies are provided to illustrate the working principle of proposed framework, to show how the framework can be applied to many different scenarios, and to demonstrate the usefulness and applicability of the proposed framework.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||map segmentation; geospatial data mining; Voronoi|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%|
|Deposited On:||16 May 2011 15:23|
|Last Modified:||16 May 2011 15:23|
Last 12 Months: 3
|Citation Counts with External Providers:|
Repository Staff Only: item control page