Nothing Special   »   [go: up one dir, main page]

Skip to main content

Searching the World Wide Web for Local Services and Facilities: A Review on the Patterns of Location-Based Queries

  • Conference paper
Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

Included in the following conference series:

Abstract

Many queries sent to search engines refer to specific locations in the world. Location-based queries try to find local services and facilities around the user’s environment or in a particular area. This paper reviews the specifications of geospatial queries and discusses the similarities and differences between location-based queries and other queries. We introduce nine patterns for location-based queries containing either a service name alone or a service name accompanied by a location name. Our survey indicates that at least 22% of the Web queries have a geospatial dimension and most of these can be considered as location-based queries. We propose that location-based queries should be treated different from general queries to produce more relevant results.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

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.

Similar content being viewed by others

References

  1. Intelligence - Center. Google en chiffres: Les données clés sur la société, les hommes, les machines (2004). English translation retrieved April 5 (2005), from http://www.google.angel-cage.de/html/newsstatistics0704.html

  2. Spink, A., et al.: From e-sex to e-commerce: Web search changes. IEEE Computer 35(3), 133–135 (2002)

    Google Scholar 

  3. Watters, C., Amoudi, G.: GeoSearcher: location-based ranking of search engine results. JASIST 54(2), 140–151 (2003)

    Article  Google Scholar 

  4. Martin County GIS Team. GIS GLOSSARY (2003), Available at http://www.martin.fl.us/GOVT/depts/isd/gis/glossary.html (Last visit July 22, 2005)

  5. MaCGDI. What’s spatial data? (2004), Available at http://www.nalis.gov.my/website/web/html/faqs_info.htm (Last visit July 22, 2005)

  6. NCGE. The five themes of geography. National Geographic Education (1984), Available at http://www.nationalgeographic.com/resources/ngo/education/themes.html (Last visit July 22, 2005)

  7. Yet Another Internet Dictionary (2004), Available at http://dpsinfo.com/help/words.html (Last visit July 22, 2005)

  8. Newcomb, K.: Google Gets Local in Canada. ClickZ News, September 23 (2004), Available at http://www.clickz.com/news/article.php/3411681 (Last visit July 22, 2005)

  9. Jones, C.B.: Spatial Information Retrieval and Geographical Ontologies: An Overview of the SPIRIT Project. In: Proc. of CIGIR, Tampere, Finland, pp. 387–388 (2002)

    Google Scholar 

  10. Stanley, J.W., Speights, W.S.: Website localization. In: Proc. of the Annual Int’l Conference on Computer Documentation, New Orleans, USA, pp. 127–130 (1999)

    Google Scholar 

  11. Soderland, S.: Learning to extract text-based information from the World Wide Web. In: The Proceedings of SIGKDD (1997)

    Google Scholar 

  12. Muslea, I.: Extraction patterns for information extraction tasks: A survey. In: AAAI Workshop on Machine Learning for IE, Orlando, USA (1999)

    Google Scholar 

  13. Li, H., et al.: Location normalization for information extraction. In: Proceedings of 19th Int’l Conference on Computational Linguistics, Taipei, pp. 549–555 (2002)

    Google Scholar 

  14. Buyukkokten, O., et al.: Exploiting geographical location information of Web pages. In: Proc. of the SIGMOD WebDB 1999, Philadelphia, USA (1999)

    Google Scholar 

  15. Olga, O.: Extracting Geographical Knowledge from the Internet. In: Proceedings of ICDM-AM International Workshop on Active Mining, Maebashi, Japan (2002)

    Google Scholar 

  16. Fonseca, F.T., Egenhofer, M.J.: Ontology-driven geographic information systems. In: The Proceedings of ACM GIS 1999, Kansas City, USA, pp. 14–19 (1999)

    Google Scholar 

  17. Jones, C.B., et al.: Maintaining ontologies for geographical information retrieval on the web. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 934–951. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  18. Gravano, L., et al.: Categorizing Web Queries According to Geographical Locality. CIKM, New Orleans (2003)

    Google Scholar 

  19. Sanderson, M., Kohler, J.: Analyzing geographic queries. In: Proceedings of Workshop on Geographic Information Retrieval SIGIR, Sheffield, UK (2004)

    Google Scholar 

  20. Ding, J., Gravano, L., Shivakumar, N.: Computing geographical scopes of Web resources. In: Proceedings of the 26th VLDB Conference, Cairo, Egypt (2000)

    Google Scholar 

  21. Radev, D.R., et al.: Mining the web for answers to natural language questions. In: Proceedings of the CIKM, Atlanta, Georgia, USA, pp. 143–150 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Asadi, S., Chang, CY., Zhou, X., Diederich, J. (2005). Searching the World Wide Web for Local Services and Facilities: A Review on the Patterns of Location-Based Queries. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_9

Download citation

  • DOI: https://doi.org/10.1007/11563952_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics