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Automatic Map Retrieval and Map Interpretation in the Internet

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Advances in Spatial Data Handling

Part of the book series: Advances in Geographic Information Science ((AGIS))

Abstract

The Internet contains huge amounts of maps representing almost every part of the Earth in many different scales and map types. However, this enormous quantity of information is completely unstructured and it is very difficult to find a map of a specific area and with certain content, because the map content is not accessible by search engines in the same way as web pages. However, searching with search engines is at the moment the most effective way to retrieve information in the Internet and without search engines most information would not be findable. In order to overcome this problem, methods are needed to search automatically for maps in the Internet and to make the implicit information of maps explicit so that machines can process it. In this paper we discuss how maps can be found automatically in the Internet and moreover, how the content of maps can be interpreted automatically.

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References

  • Agarwal A, Skupin A (eds) (2008) Self-organizing maps: applications in geographic information science. Wiley, West Sussex

    Google Scholar 

  • Anders KH (2003) A hierarchical graph-clustering approach to find groups of objects. In: ICA commission on map generalization, technical paper at the fifth workshop on progress in automated map generalization, IGN, Paris, published on CD-ROM, Internet access: http://www.geo.unizh.ch/ICA/docs/paris2003/papers03.html. Accessed 5 Jan 2012

  • Datta R, Joshi D, Li J, Wang J (2008) Image retrieval: ideas, influences, and trends of the new age. ACM Comput Surv 40(2), Article 5, p 60.

    Google Scholar 

  • Frawley W, Piatetsky-Shapiro G, Matheus C (1991) Knowledge discovery in databases: an overview. In: Piatetsky-Shapiro G, Frawley W (eds) Knowledge discovery in databases. AAAI/MIT Press, Menlo Park, p 27

    Google Scholar 

  • Funkhouser T, Min P, Kazhdan M, Chen J (2003) A search engine for 3D models. ACM Trans Graph 22(1):83–105

    Article  Google Scholar 

  • Graeff B, Carosio A (2002) Automatic interpretation of raster-based topographic maps by means of queries. FIG XXII international congress Washington, published on CD-ROM, Internet access: http://www.fig.net/pub/fig_2002/Ts3-10/TS3_10_graeff_carosio.pdf. Accessed 5 Jan 2012

  • Heinzle F, Sester M (2004) Derivation of implicit information from spatial data sets with data mining. Int Arch Photogrammetry Remote Sens 35(Part B4):335–340.

    Google Scholar 

  • Heinzle F, Anders KH, Sester M (2007) Automatic detection of pattern in road networks-methods and evaluation. In: Proceeding of joint workshop visualization and exploration of geospatial data, vol XXXVI-4/W45, published on CD-ROM, Internet access: http://tiny.cc/FEyb7. Accessed 5 Jan 2012

  • Jones JB, Abdelmoty AI, Finch D, Fu D, Vaid S (2004) The SPIRIT spatial search engine: architecture, ontologies and spatial indexing. In: Proceedings of Geographic information science: third international conference, GIScience 2004, Adelphi, MD, USA, 20–23 Oct 2004.

    Google Scholar 

  • Jones C, Purves R, Clough P, Joho H (2008) Modeling vague places with knowledge from the Web. IJGIS 22(10):1045–1065

    Google Scholar 

  • Kohonen T (1982) Clustering, taxonomy, and topological maps of patterns. In: Proceedings of international conference on pattern recognition (ICPR), Washington, IEEE Computer Soc. Press, pp 114–128.

    Google Scholar 

  • Lüscher P, Weibel R, Mackaness A (2008) Where is the terraced house? On the use of ontologies for recognition of urban concepts in cartographic databases. In: Ruas A, Christopher G (eds) Headway in spatial data handling. Lecture notes in geoinformation and cartography, Springer, Berlin, pp 449–466

    Chapter  Google Scholar 

  • Mackaness W, Edwards G (2002) The importance of modeling pattern and structure in automated map generalisation. In: Proceedings of joint workshop on multi-scale representations of spatial data, Ottawa, Canada, published on CD-ROM, Internet access: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.1311&rep=rep1&type=pdf. Accessed 5 Jan 2012

  • Miller HJ, Han J (eds) (2009) Geographic data mining and knowledge discovery, 2nd edn. Taylor and Francis, New York

    Google Scholar 

  • Schleinkofer MF (2007) Wissensbasierte Unterstützung zur Erstellung von Produktmodellen im Baubestand. Technische Universität München, Dissertation

    Google Scholar 

  • Sester M (2000) Knowledge acquisition for the automatic interpretation of spatial data. Int J Geog Inf Sci 14(1):1–24

    Article  Google Scholar 

  • Sezgin TM, Davis R (2005) HMM-based efficient sketch recognition. In: Proceedings of the international conference on intelligent user interfaces (IUI’05), ACM Press, pp 281–283.

    Google Scholar 

  • Singh A, Singh K (2010) Faster and efficient web crawling with parallel migrating web crawler. IJCSI Int J Comput Sci, Issues 7(3), no. 11:28–32.

    Google Scholar 

  • Steinhauer JH, Wiese T, Freksa C, Barkowsky T (2001) Recognition of abstract regions in cartographic maps. In: Proceedings of the international conference on spatial information theory: foundations of geographic information science, pp 306–321.

    Google Scholar 

  • Viglino JM, Pierrot-Deseilligny M (2003) A vector approach for automatic interpretation of the french cadastral map. In: Proceedings of the seventh international conference on document analysis and recognition (ICDAR’03), pp 304–309.

    Google Scholar 

  • Walter V (2008) Automatic interpretation of vector databases with a raster-based algorithm. In: The international archives of the photogrammetry, remote sensing and spatial information sciences 37 (Part B2), pp 175–181.

    Google Scholar 

  • Walter V, Luo F (2011) Automatic interpretation of digital maps. ISPRS J Photogrammetry Remote Sens 66(4):519–528

    Article  Google Scholar 

  • Wuersch M, Egenhofer MJ (2008) Perceptual sketch interpretation. In: Ruas A, Gold C (eds) The 13th international symposium on spatial data handling (SDH 2008). Springer, Montpellier, France, pp 19–38

    Google Scholar 

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Correspondence to Volker Walter .

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Walter, V., Luo, F., Fritsch, D. (2013). Automatic Map Retrieval and Map Interpretation in the Internet. In: Timpf, S., Laube, P. (eds) Advances in Spatial Data Handling. Advances in Geographic Information Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32316-4_14

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