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.

PDF (Published Version) - Published Version Restricted to Repository staff only

 

7

3

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.

Actions (Repository Staff Only)

Item Control Page