Discovering common semantic trajectories from geo-tagged social media

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2016) Discovering common semantic trajectories from geo-tagged social media. In: Lecture Notes in Artificial Intelligence (9799), pp. 320-332. From: IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2-4 August 2016, Morioka, Japan.

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Abstract

Massive social media data are being created and uploaded to online nowadays. These media data associated with geographical information reflect people's footprints of movements. This study investigates into extraction of people's common semantic trajectories from geo-referenced social media data using geo-tagged images. We first convert geo-tagged photographs into semantic trajectories based on regions-of-interest, and then apply density-based clustering with a similarity measure designed for multi-dimensional semantic trajectories. Using real geo-tagged photographs, we find interesting people's common semantic mobilities. These semantic behaviors demonstrate the effectiveness of our approach.

Item ID: 47545
Item Type: Conference Item (Refereed Research Paper - E1)
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ISBN: 978-3-319-42007-3
Date Deposited: 07 Mar 2017 02:27
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 > 890202 Application Tools and System Utilities @ 100%
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