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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2016: Trends in Applied Knowledge-Based Systems and Data Science pp 320–332Cite as

Discovering Common Semantic Trajectories from Geo-tagged Social Media

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

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.

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Notes

  1. 1.

    Geonames: http://www.geonames.org/.

  2. 2.

    http://www.bom.gov.au/climate.

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Author information

Authors and Affiliations

  1. Information Technology Academy, College of Business, Law and Governance, James Cook University, Cairns, Queensland, 4870, Australia

    Guochen Cai, Kyungmi Lee & Ickjai Lee

Authors
  1. Guochen Cai
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  2. Kyungmi Lee
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  3. Ickjai Lee
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Corresponding author

Correspondence to Ickjai Lee .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

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© 2016 Springer International Publishing Switzerland

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Cai, G., Lee, K., Lee, I. (2016). Discovering Common Semantic Trajectories from Geo-tagged Social Media. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-42007-3_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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