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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agarwal A, Skupin A (eds) (2008) Self-organizing maps: applications in geographic information science. Wiley, West Sussex
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.
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
Funkhouser T, Min P, Kazhdan M, Chen J (2003) A search engine for 3D models. ACM Trans Graph 22(1):83–105
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.
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.
Jones C, Purves R, Clough P, Joho H (2008) Modeling vague places with knowledge from the Web. IJGIS 22(10):1045–1065
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.
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
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
Schleinkofer MF (2007) Wissensbasierte Unterstützung zur Erstellung von Produktmodellen im Baubestand. Technische Universität München, Dissertation
Sester M (2000) Knowledge acquisition for the automatic interpretation of spatial data. Int J Geog Inf Sci 14(1):1–24
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.
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.
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.
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.
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.
Walter V, Luo F (2011) Automatic interpretation of digital maps. ISPRS J Photogrammetry Remote Sens 66(4):519–528
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-32316-4_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32315-7
Online ISBN: 978-3-642-32316-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)