Skip to main content

Information Extraction from Geographical Overview Maps

  • Conference paper
Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7653))

Included in the following conference series:

Abstract

The paper presents a method of information extraction from overview maps. The idea is based on recognizing text located on the map and on finding locations corresponding to the extracted text labels using the GeoNames ontology. The method consists of three phases. The first one performs map image processing in order to recognize text labels. The next phase verifies these labels and marks them as being sure or unsure locations. In the third phase the map is interpreted based on the locations found. The second and third phases make use of the ontology. The preliminary results are promising for further development of the method.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Walter, V., Luo, F.: Automatic interpretation of digital maps. ISPRS Journal of Photogrammetry and Remote Sensing 66, 519–528 (2011)

    Article  Google Scholar 

  2. Pezeshk, A., Tutwiler, R.: Automatic feature extraction and text recognition from scanned topographic maps. IEEE Trans. on Geos. and Rem. Sens. 49(12), 5047–5063 (2011)

    Article  Google Scholar 

  3. Chiang, Y.Y., Knoblock, C.: An approach for recognizing text labels in raster maps. In: Proc. 20th Intern. Conf. Patt. Recogn., pp. 3199–3202 (2010)

    Google Scholar 

  4. Pouderoux, J., Gonzato, J.C., Pereira, A., Guitton, P.: Toponym recognition in scanned color topographic maps. In: Proc. ICDAR 2007 Int. Conf. on Doc. Anal. and Rec., vol. 1, pp. 531–535 (2007)

    Google Scholar 

  5. Levenshtein, V.: Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady 10, 707–810 (1996)

    MathSciNet  Google Scholar 

  6. Geonames, http://www.geonames.org/

  7. Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. of 2nd Intern. Conf. on Knowl. Disc. and Data Mining (KDD 1996), pp. 226–231 (1996)

    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

Pawlikowski, R., Ociepa, K., Markowska-Kaczmar, U., Myszkowski, P.B. (2012). Information Extraction from Geographical Overview Maps. In: Nguyen, NT., Hoang, K., JÈ©drzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34630-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics