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Path Skyline for Moving Objects

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Web Technologies and Applications (APWeb 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7235))

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Abstract

Skyline query has been used mainly for relatively static and low dimensional data sets. We develop the Skyline query for the moving objects coping with dynamic changes efficiently. This study is focused on deriving a fundamental algorithm for extracting the path skylines so that the Shortest Path based algorithm, named PathSL, can generate an optimal skyline for moving objects. It turns out that PathSL is robust against changing the source and destination and generically scalable for the problem size with polynomial computational complexity.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Inha University, South Korea

    Wookey Lee & Chris Soo-Hyun Eom

  2. Mathematics, Inha University, South Korea

    Tae-Chang Jo

Authors
  1. Wookey Lee
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  2. Chris Soo-Hyun Eom
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  3. Tae-Chang Jo
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Editor information

Editors and Affiliations

  1. School of Computer Science, The University of Adelaide, Australia

    Quan Z. Sheng

  2. College of Information Science and Engineering, Northeastern University, 110819, Shenyang, China

    Guoren Wang

  3. Aarhus University, Denmark

    Christian S. Jensen

  4. Center for Applied Informatics, Victoria University, PO Box 14428, 8001, VIC, Australia

    Guandong Xu

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© 2012 Springer-Verlag Berlin Heidelberg

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Lee, W., Eom, C.SH., Jo, TC. (2012). Path Skyline for Moving Objects. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_56

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  • DOI: https://doi.org/10.1007/978-3-642-29253-8_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29252-1

  • Online ISBN: 978-3-642-29253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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