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. In: Proceedings of 6th International Conference on Advanced Information Management and Service, pp. 73-77. From: IMS 2010 6th International Conference on Advanced Information Management and Service, 30 November - 2 December 2010, Seoul, Korea.

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Abstract

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 ID: 15682
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: map segmentation; geospatial data mining; Voronoi
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ISBN: 978-89-88678-31-2
Date Deposited: 16 May 2011 05:23
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%
Citation Count from Scopus Scopus 0
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