General Spatial Skyline Operator

  • Qianlu Lin
  • Ying Zhang
  • Wenjie Zhang
  • Aiping Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7238)


With the emergence of location-aware mobile device technologies, communication technologies and GPS systems, various location-aware queries have attracted great attentions in the database literature. In many user recommendation systems, the spatial preference query is used to suggest the objects based on their spatial proximity to the facilities. In this paper, we study the problem of general spatial skyline which can provide a minimal set of candidates that contain optimal solutions for any monotonic distance based spatial preference query. An efficient algorithm is proposed to significantly reduce the number of non-promising objects in the computation. The paper also covers a comprehensive performance study of the proposed techniques based on both real and synthetic data.


Query Point Skyline Query Facility Type Close Facility Skyline Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Qianlu Lin
    • 1
  • Ying Zhang
    • 1
  • Wenjie Zhang
    • 1
  • Aiping Li
    • 2
  1. 1.The University of New South WalesAustralia
  2. 2.National University of Defense TechnologyChina

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