Discovering common semantic trajectories from geo-tagged social media

Conference Publication ResearchOnline@JCU
Cai, Guochen;Lee, Kyungmi;Lee, Ickjai
Kyungmi Joanne LeeIckjai Lee
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.

Journal

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Publication Name

IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

Volume

9799

ISBN/ISSN

978-3-319-42007-3

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Pages Count

13

Location

Morioka, Japan

Publisher

Springer

Publisher Url

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Publisher Location

Berlin, Germany

Publish Date

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Date

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EISSN

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DOI

10.1007/978-3-319-42007-3_27