Skip to main content

Spatial Keyword Querying

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7532))

Abstract

The web is increasingly being used by mobile users. In addition, it is increasingly becoming possible to accurately geo-position mobile users and web content. This development gives prominence to spatial web data management. Specifically, a spatial keyword query takes a user location and user-supplied keywords as arguments and returns web objects that are spatially and textually relevant to these arguments. This paper reviews recent results by the authors that aim to achieve spatial keyword querying functionality that is easy to use, relevant to users, and can be supported efficiently. The paper covers different kinds of functionality as well as the ideas underlying their definition.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aurenhammer, F., Edelsbrunner, H.: An optimal algorithm for constructing the weighted Voronoi diagram in the plane. Pattern Recognition 17(2), 51–57 (1984)

    Article  MathSciNet  Google Scholar 

  2. Cao, X., Cong, G., Jensen, C.S.: Mining significant semantic locations from GPS data. PVLDB 3(1), 1009–1020 (2010)

    Google Scholar 

  3. Cao, X., Cong, G., Jensen, C.S.: Retrieving top-k prestige-based relevant spatial web objects. PVLDB 3(1), 373–384 (2010)

    Google Scholar 

  4. Cao, X., Cong, G., Jensen, C.S., Ooi, B.C.: Collective spatial keyword querying. In: SIGMOD, pp. 373–384 (2011)

    Google Scholar 

  5. Chen, Y.-Y., Suel, T., Markowetz, A.: Efficient query processing in geographic web search engines. In: SIGMOD, pp. 277–288 (2006)

    Google Scholar 

  6. Christoforaki, M., He, J., Dimopoulos, C., Markowetz, A., Suel, T.: Text vs. space: efficient geo-search query processing. In: CIKM, pp. 423–432 (2011)

    Google Scholar 

  7. Cong, G., Jensen, C.S., Wu, D.: Efficient retrieval of the top-k most relevant spatial web objects. PVLDB 2(1), 337–348 (2009)

    Google Scholar 

  8. Felipe, I.D., Hristidis, V., Rishe, N.: Keyword search on spatial databases. In: ICDE, pp. 656–665 (2008)

    Google Scholar 

  9. Google: Google latitude API (2012), http://developers.google.com/latitude

  10. Google: Google Places. Stats & Facts (2012), sites.google.com/a/pressatgoogle.com/googleplaces/metrics

  11. Hage, C., Jensen, C.S., Pedersen, T.B., Speicys, L., Timko, I.: Integrated data management for mobile services in the real world. In: VLDB, pp. 1019–1030 (2003)

    Google Scholar 

  12. IDC: Smartphone statistics and market share (2012), www.email-marketing-reports.com/wireless-mobile/smartphone-statistics.htm

  13. Jensen, C.S., Lu, H., Yang, B.: Graph model based indoor tracking. In: MDM, pp. 122–131 (2009)

    Google Scholar 

  14. Li, Z., Lee, K.C.K., Zheng, B., Lee, W.-C., Lee, D.L., Wang, X.: IR-tree: an efficient index for geographic document search. TKDE 23(4), 585–599 (2011)

    Google Scholar 

  15. Lu, H., Cao, X., Jensen, C.S.: A foundation for efficient indoor distance-aware query processing. In: ICDE, pp. 438–449 (2012)

    Google Scholar 

  16. Lu, J., Lu, Y., Cong, G.: Reverse spatial and textual k nearest neighbor search. In: SIGMOD, pp. 349–360 (2011)

    Google Scholar 

  17. Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: SIGIR, pp. 275–281 (1998)

    Google Scholar 

  18. Rocha-Junior, J.B., Gkorgkas, O., Jonassen, S., Nørvåg, K.: Efficient Processing of Top-k Spatial Keyword Queries. In: Pfoser, D., Tao, Y., Mouratidis, K., Nascimento, M.A., Mokbel, M., Shekhar, S., Huang, Y. (eds.) SSTD 2011. LNCS, vol. 6849, pp. 205–222. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  19. Speicys, L., Jensen, C.S.: Enabling location-based services—multi-graph representation of transportation networks. Geoinformatica 12(2), 219–253 (2008)

    Article  Google Scholar 

  20. Statistic Brain: Google Annual Search Statistics (2012), http://www.statisticbrain.com/google-searches/

  21. Search Engine Land: Microsoft: 53 percent of mobile searches have local intent (2012), searchengineland.com/microsoft-53-percent-of-mobile-searches-have-local-intent-55556

  22. Venetis, P., Gonzalez, H., Jensen, C.S., Halevy, A.: Hyper-local, directions-based ranking of places. PVLDB 4(5), 290–301 (2011)

    Google Scholar 

  23. Wu, D., Yiu, M.L., Jensen, C.S., Cong, G.: Efficient continuously moving top-k spatial keyword query processing. In: ICDE, pp. 541–552 (2011)

    Google Scholar 

  24. Zeiler, M.: Modeling our World—The ESRI Guide to Geodatabase Design. ESRI Press (1999)

    Google Scholar 

  25. Zhang, D., Chee, Y.M., Mondal, A., Tung, A.K.H., Kitsuregawa, M.: Keyword search in spatial databases: Towards searching by document. In: ICDE, pp. 688–699 (2009)

    Google Scholar 

  26. Zhang, D., Ooi, B.C., Tung, A.K.H.: Locating mapped resources in web 2.0. In: ICDE, pp. 521–532 (2010)

    Google Scholar 

  27. Zhou, Y., Xie, X., Wang, C., Gong, Y., Ma, W.-Y.: Hybrid index structures for location-based web search. In: CIKM, pp. 155–162 (2005)

    Google Scholar 

  28. Zobel, J., Moffat, A.: Inverted files for text search engines. ACM Comput. Surv. 38(2) (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cao, X. et al. (2012). Spatial Keyword Querying. In: Atzeni, P., Cheung, D., Ram, S. (eds) Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34002-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34002-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34001-7

  • Online ISBN: 978-3-642-34002-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics