Abstract
As a variant of a skyline query, a reverse skyline query has been studied. However, the existing methods for processing a reverse skyline query have the limitation of service domains and require the high costs of computation to provide various location-based services. In this paper, we propose a new reverse skyline query processing method that efficiently processes a query over moving objects. In addition, the proposed method processes a continuous reverse skyline query efficiently. In order to show the superiority of the proposed method, we compare it with the previous reverse skyline query processing method in various environments.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Hightower, J., Borriello, G.: Location systems for Ubiquitous computing. IEEE Comput. 34(8), 57–66 (2001)
Brakatsoulas, S., Pfoser, D., Tryfona, N.: Modeling, storing, and mining moving object databases. In: International Database Engineering and Applications Symposium, pp 68–77 (2004)
Papadias, D., Zhang, J., Mamoulis, N., Tao, Y.: Query processing in spatial network databases. In: International Conference on Very Large Data Bases, pp 802–813 (2003)
Roussopoulos, M., Kelley, S., Vincent, F.: Nearest neighbor queries. In: ACM SIGMOD International Conference on Management of Data, pp 71–79 (1995)
Ilyas, I.F., Beskales, G., Soliman, M.A.: A survey of top-k query processing techniques in relational database systems. ACM computing surveys, vol. 40, no. 4, pp 1–58 (2008)
Borzsonyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: IEEE International Conference on Data Engineering, pp 421–430 (2001)
Li, C., Ooi, B.B, Tung, A.K.H., Wang, S.: DADA: A data cube for dominant relationship analysis. In: ACM SIGMOD International Conference on Management of Data, pp 659–670 (2006)
Dellis, E., Seeger, B.: Efficient computation of reverse skyline queries. In: International Conference on Very Large Data Bases, pp 291–302 (2007)
Lian, X., Chen, L.: Monochromatic and bichromatic reverse skyline search over uncertain databases. In: ACM SIGMOD International Conference on Management of Data, pp 213–226 (2008)
Zhu, L., Li, C., Chen, H., Efficient computation of reverse skyline on data stream. In: International Joint Conference on Computational Sciences and Optimization, pp 735–739 (2009)
Deshpande, P.M., Deepak, P. Efficient reverse skyline retrieval with arbitrary non-metric similarity measures. In: International Conference on Extending Data Base Technology, pp 319–330 (2011)
Lim, J., Park, Y., Lee, J., Seo, D., Yoo, J.: An efficient method for processing reverse skyline queries. In: International Conference on Global Mobile Congress, pp 1–5 (2010)
Mokbel, M.F., Xiong, X., Aref, W.G. SINA: Scalable incremental processing of continuous queries in spatio-temporal databases. In: ACM SIGMOD International Conference on Management of Data, pp 623–634 (2004)
Papadias, D., Tao, Y., Fu, G., Seeger, B.: Progressive skyline computation in database systems. ACM Trans. Datab. Syst. 30(1), 41–82 (2005)
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2012R1A1A2041898).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Lim, J., Park, Y., Bok, K., Yoo, J. (2013). An Efficient Continuous Reverse Skyline Query Processing Method Over Moving Objects. In: Han, YH., Park, DS., Jia, W., Yeo, SS. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 214. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5857-5_35
Download citation
DOI: https://doi.org/10.1007/978-94-007-5857-5_35
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5856-8
Online ISBN: 978-94-007-5857-5
eBook Packages: EngineeringEngineering (R0)