Skip to main content
SpringerLink
Log in

Processing Framework for Ranking and Skyline Queries

  • Chapter
Advanced Query Processing

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 36))

  • 957 Accesses

Abstract

In the previous chapter, the need to support ranking and skyline queries for multi-criteria decision-making for given user preferences was motivated. We now survey existing algorithms for each query and show a ‘meta-algorithm’ framework for each query. The goal of this chapter is to show that how this framework and cost model enable us to (a) generalize existing algorithms and (b) observe important principles not observed from individual algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Balke, W., Guentzer, U., Kiessling, W.: On Real-time Top-k Querying for Mobile Services. In: CoopIS 2002 (2002)

    Google Scholar 

  2. Balke, W.-T., Güntzer, U., Zheng, J.X.: Efficient Distributed Skylining for Web Information Systems. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 256–273. Springer, Heidelberg (2004)

    Google Scholar 

  3. Bartolini, I., Ciaccia, P., Patella, M.: Efficient Sort-Based Skyline Evaluation. ACM TODS (2008)

    Google Scholar 

  4. Börzsönyi, S., Kossmann, D., Stocker, K.: The Skyline Operator. In: ICDE (2001)

    Google Scholar 

  5. Bruno, N., Gravano, L., Marian, A.: Evaluating Top-k Queries over Web-Accessible Databases. In: ICDE (2002)

    Google Scholar 

  6. Chang, K.C.C., Hwang, S.: Minimal Probing: Supporting Expensive Predicates for Top-k Queries. In: SIGMOD 2002 (2002)

    Google Scholar 

  7. Chaudhuri, S., Dalvi, N., Kaushik, R.: Robust Cardinality and Cost Estimation for Skyline Operator. In: ICDE (2006)

    Google Scholar 

  8. Chomicki, J., Godfery, P., Gryz, J., Liang, D.: Skyline with Presorting. In: ICDE (2003)

    Google Scholar 

  9. Chomicki, J., Godfrey, P., Gryz, J., Liang, D.: Skyline with Presorting: Theory and Optimizations. In: Intelligent Information Systems (2005)

    Google Scholar 

  10. Fagin, R.: Combining Fuzzy Information from Multiple Systems. In: PODS, pp. 216–226 (1996)

    Google Scholar 

  11. Fagin, R., Lote, A., Naor, M.: Optimal Aggregation Algorithms for Middleware. In: PODS 2001 (2001)

    Google Scholar 

  12. Godfrey, P., Shipley, R., Gryz, J.: Maximal Vector Computation in Large Data Sets. In: VLDB (2005)

    Google Scholar 

  13. Guentzer, U., Balke, W., Kiessling, W.: Optimizing Multi-Feature Queries in Image Databases. In: VLDB 2000 (2000)

    Google Scholar 

  14. Guentzer, U., Balke, W., Kiessling, W.: Towards Efficient Multi-Feature Queries in Heterogeneous Environments. In: ITCC 2001 (2001)

    Google Scholar 

  15. Hwang, S., Chang, K.: Optimizing Top-k Queries for Middleware Access: A Unified Cost-based Approach. ACM Trans. on Database Systems (2007)

    Google Scholar 

  16. Ilyas, I.F., Beskales, G., Soliman, M.A.:

    Google Scholar 

  17. Kossmann, D., Ramsak, F., Rost, S.: Shooting Stars in the Sky: An Online Algorithm for Skyline Queries. In: VLDB (2002)

    Google Scholar 

  18. Lee, J., Hwang, S.: SkyTree: Scalable Skyline Computation for Sensor Data. In: SensorKDD (2009)

    Google Scholar 

  19. Lee, J., Hwang, S.: BSkyTree: Scalable Skyline Computation using Balanced Pivot Selection. In: EDBT (2010)

    Google Scholar 

  20. Lee, K.C., Zheng, B., Li, H., Lee, W.C.:

    Google Scholar 

  21. Lo, E., Yip, K.Y., Lin, K.I., Cheung, D.W.: Progressive Skylining over Web-Accessible Database. Data & Knowledge Enginnering (2006)

    Google Scholar 

  22. Morse, M., Patel, J.M., Jagadish, H.:

    Google Scholar 

  23. Papadias, D., Tao, Y., Fu, G., Seeger, B.: An Optimal and Progressive Algorithm for Skyline Queries. In: SIGMOD (2003)

    Google Scholar 

  24. Selinger, P., Astrahan, M., Chamberlin, D., Lorie, R., Price, T.: Access Path Selection in a Relational Database. In: SIGMOD 1979 (1979)

    Google Scholar 

  25. Zhang, S., Mamoulis, N., Cheung, D.W.: Scalable Skyline Computation Using Object-based Space Partitioning. In: SIGMOD (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. POSTECH, Pohang, Korea

    Seung-won Hwang

Authors
  1. Seung-won Hwang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Seung-won Hwang .

Editor information

Editors and Affiliations

  1. Dipto. Informatica e Science, dell'Informazione, Università Genova, Via Dodecaneso 35, Genova, 16146, Italy

    Barbara Catania

  2. , School of Electrical and Information, University of South Australia, Mawson Lakes Campus, Adelaide, SA 5095, South Australia, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hwang, Sw. (2013). Processing Framework for Ranking and Skyline Queries. In: Catania, B., Jain, L. (eds) Advanced Query Processing. Intelligent Systems Reference Library, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28323-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28323-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28322-2

  • Online ISBN: 978-3-642-28323-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation