Discovering common semantic trajectories from geo-tagged social media
Conference Publication ResearchOnline@JCUAbstract
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
Edition
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Issue
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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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Url
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Date
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EISSN
N/A
DOI
10.1007/978-3-319-42007-3_27