On-demand base maps on the web generalized according to user profiles

References

• Agarwal , P. 2005 . Ontological considerations in GIScience . International Journal of Geographical Information Science , 19 ( 5 ) : 501 – 536 .
   Web of Science ®Google Scholar
• Barrault , M. 2001 . “ Integrating multi-agent, object-oriented and algorithmic techniques for improved automated map generalization ” . In 20th international cartographic conference – International Cartographic Association (ICC) , 2110 – 2116 . Beijing : China .
   Google Scholar
• Beard , K.M. 1991 . “ Constraints on rule formation ” . In Map generalization: making rules for knowledge representation , Edited by: Buttenfield , B. and McMaster , R.B. 121 – 135 . London : Longman .
   Google Scholar
• Booch , G. 2007 . Object-oriented analysis and design with applications , 3rd , Boston : Addison-Wesley Professional .
   Google Scholar
• Burghardt , D. , Edwardes , A. and Mannes , J. 2004 . “ An architecture for automatic generalisation of mobile maps ” . In 2nd symposium on location based service and telecartography, Vienna, Austria , Edited by: Gartner , G. Vienna : Institute for Cartography and Geo-Media Techniques .
   Google Scholar
• Cecconi , A. 2003 . Integration of cartographic generalization and multi-scale databases for enhanced web mapping , Thesis (PhD) : University of Zurich .
   Google Scholar
• Deoliveira, J., 2008. GeoServer: uniting the GeoWeb and spatial data infrastructures. In: Proceedings of the 10th international conference for spatial data infrastructure, GSDI 10 St. Augustine, Trinidad. http://www.gsdi.org/gsdi10/papers/TS26.4paper.pdf (http://www.gsdi.org/gsdi10/papers/TS26.4paper.pdf) (Accessed: 2 November 2010 ).
   Google Scholar
• de Vries , M. and van Oosterom , P. 2008 . “ Model generalization and methods for effective query processing and visualization in a web service/client architecture ” . In Spatial data on the web , Edited by: Belussi , A. 85 – 106 . Heidelberg : Springer .
   Google Scholar
• Duchene , C. and Gaffuri , J. 2008 . “ Combining three multi-agent based generalization models: AGENT, CartACom and GAEL ” . In Headway in spatial data handling – lecture notes in geoinformation and cartography , Edited by: Ruas , A. and Gold , C. 277 – 296 . Heidelberg : Springer .
   Google Scholar
• Duckham , M. and Worboys , M. 2005 . An algebraic approach to automated geospatial information fusion . International Journal of Geographical Information Science , 19 ( 5 ) : 537 – 557 .
   Web of Science ®Google Scholar
• Etsi . 2005 . Human factors (HF): user profile management , Nice , , France : ETSI .
   Google Scholar
• Etsi . 2009a . Human factors (HF): personalization and user profile management: architectural framework , Nice , , France : ETSI .
   Google Scholar
• Etsi . 2009b . Human factors (HF); personalization and user profile management; user profile preferences and information , Nice , , France : ETSI .
   Google Scholar
• Fink , J. and Kobsa , A. 2002 . User modeling in personalized city tours . Artificial Intelligence Review , 18 ( 1 ) : 33 – 74 .
   Web of Science ®Google Scholar
• Foerster , T. and Stoter , J.E. 2009 . “ Providing customized base maps in a SDI for physical planning ” . In GSDI 11 , Rotterdam , , the Netherlands : GSDI Association .
   Google Scholar
• Foerster , T. , Stoter , J.E. and Lemmens , R. 2008 . “ An interoperable web service architecture to provide base maps empowered by automated generalization ” . In Headway in spatial data handling – lecture notes in geoinformation and cartography , Edited by: Ruas , A. and Gold , C. 255 – 276 . Montpellier , France : Springer .
   Google Scholar
• Foerster , T. , Stoter , J. and Morales , J. 2009 . Enhancing cartographic generalization processing with grid computing power and beyond . GIS Science , 2009 ( 3 ) : 98 – 101 .
   Google Scholar
• Forrest, D., 2005. Automated selection of topographic base information from the global map database for thematic maps. In: From pharaohs to geoinformatics. FIG working week and GSDI-8. Cairo, Egypt. http://www.fig.net/pub/cairo/abstracts/ts_48/ts48_03_forrest_abs.pdf (http://www.fig.net/pub/cairo/abstracts/ts_48/ts48_03_forrest_abs.pdf) (Accessed: 2 November 2010 ).
   Google Scholar
• Gottschalk , K. 2002 . Introduction to web service architecture . IBM Journal , 41 ( 2 ) : 170 – 177 .
   Google Scholar
• Gruenreich , D. 1992 . “ ATKIS – a topographic information system as a basis for GIS and digital cartography in Germany ” . In From digital map series to geo-information systems , 207 – 216 . Geologisches Jahrbuch Reihe A(Heft 122), German Geological Survey (BGR) .
   Google Scholar
• Hardy , P. , Hayles , M. and Revell , P. 2003 . “ Clarity – a new environment for generalisation using agents, Java, XML and topology ” . In Fifth workshop on progress in automated map generalization , Paris : France : ICA Commission on Generalisation and Multiple Representation .
   Google Scholar
• Harrie , L. , Sarjakoski , L.T. and Lehto , L. 2002 . “ A variable-scale map for small-display cartography ” . In Proceedings of the joint international symposium on “GeoSpatial theory, processing and applications” (ISPRS/Commission IV, SDH2002) , Ottawa , ON : 6 : ISPRS / Commission IV .
   Google Scholar
• ISO/TC 211 . 2005 . Geographic information – Services , Geneva , , Switzerland : International Organization for Standardization .
   Google Scholar
• Kuipers , B. 1982 . The “map in the head” metaphor . Environment and Behavior , 14 : 202 – 220 .
   Web of Science ®Google Scholar
• Lecordix, F., et al., 2007. Development of a new generalization flowline for topographic maps. In: 10th ICA workshop on generalisation and multiple representation. Moscow, Russia. http://aci.ign.fr/BDpubli/moscow2007/Lecordix_ICAWorkshop.pdf (http://aci.ign.fr/BDpubli/moscow2007/Lecordix_ICAWorkshop.pdf) (Accessed: 19 September 2008 ).
   Google Scholar
• Mackaness , W.A. , Ruas , A. and Sarjakoski , L.T. 2007 . “ Observations and research challenges in map generalization and multiple representation ” . In Generalization of geographic information: cartographic modelling and applications , Edited by: Mackaness , W.A. , Ruas , A. and Sarjakoski , L.T. 315 – 323 . Oxford : Elsevier .
   Google Scholar
• McMaster , R.B. and Shea , K.S. 1992 . Generalization in digital cartography , Washington , DC : American Association of Geographers .
   Google Scholar
• Network Services Drafting Team, 2008. Technical guidance to implement INSPIRE view services, INSPIRE. http://inspire.jrc.ec.europa.eu/reports/ImplementingRules/network/Draft_Technical_Guidance_View_Services_v1.0.pdf (http://inspire.jrc.ec.europa.eu/reports/ImplementingRules/network/Draft_Technical_Guidance_View_Services_v1.0.pdf) (Accessed: 20 April 2009 ).
   Google Scholar
• OGC, 2004. OGC Web map service interface. http://www.opengeospatial.org/standards/wms (http://www.opengeospatial.org/standards/wms) (Accessed: 2 November 2010 ).
   Google Scholar
• OGC, 2005. Web map context documents. http://www.opengeospatial.org/standards/wmc (http://www.opengeospatial.org/standards/wmc) (Accessed: 2 November 2010 ).
   Google Scholar
• OGC, 2007. Styled layer descriptor profile of the web map service implementation specification. Available from http://www.opengeospatial.org/standards/sld (http://www.opengeospatial.org/standards/sld)
   Google Scholar
• Ottens , H. 2004 . “ An information model for strategic spatial policy documents ” . In 7th AGILE conference on geographic information science , 605 – 611 . Heraklion : Greece: Association Geographic Information Laboratories Europe .
   Google Scholar
• Poppe , E. , van Elzakker , C.P.J.M. and Stoter , J.E. 2006 . “ Towards a method for automated task-driven generalisation of base maps ” . In UDMS 2006 – 25th urban data management symposium , Vol. 3 , 51 – 364 . Denmark : Aalborg: Urban Data Management Society .
   Google Scholar
• Regnauld , N. 2007 . “ Evolving from automating existing map production systems to producing maps on demand automatically ” . In 10th ICA workshop on generalisation and multiple representation , Moscow : Russia ICA Commission on Generalisation and Multiple Representation .
   Google Scholar
• Regnauld , N. and McMaster , R.B. 2007 . “ A synoptic view of generalisation operators ” . In Generalization of geographic information: cartographic modelling and applications , Edited by: Mackaness , W.A. , Ruas , A. and Sarjakoski , L.T. 37 – 66 . Oxford : Elsevier .
   Google Scholar
• Ruas , A. 1998 . “ OO-constraint modelling to automate urban generalization process ” . In Spatial data handling ‘98 conference proceedings. 8th international symposium on spatial data handling , 225 – 235 . Vancouver : Canada .
   Google Scholar
• Ruas , A. 2000 . “ The roles of meso objects for generalization ” . In Proceedings of the 9th international symposium on spatial data handling , 3b50 – 3b63 . Beijing : China: International Geographical Union .
   Google Scholar
• Sabo , M.N. 2008 . Toward self-generalizing objects and on-the-fly map generalization . Cartographica , 43 ( 3 ) : 155 – 173 .
   Google Scholar
• Sarjakoski , T. 2005 . “ Web generalisation services in GiMoDig – towards a standardised service for real-time generalisation ” . In AGILE 2005 , Edited by: Toppen , F. and Painho , M. 509 – 518 . Estoril : Portugal: Association Geographic Information Laboratories Europe .
   Google Scholar
• Sester , M. 2005 . Optimization approaches for generalization and data abstraction . International Journal of Geographical Information Science , 19 ( 8–9 ) : 871 – 897 .
   Web of Science ®Google Scholar
• Sivasubramanian , S. 2007 . Analysis of caching and replication strategies for web applications . IEEE Internet Computing , 11 ( 1 ) : 60 – 66 .
   Web of Science ®Google Scholar
• Slocum , T. 1999 . Thematic cartography and visualization , Upper Saddle River , NJ : Prentice Hall .
   Google Scholar
• Sparx Systems, 2009. Introduction to enterprise architect. http://www.sparxsystems.com/uml_tool_guide/ (http://www.sparxsystems.com/uml_tool_guide/) (Accessed: 2 November 2010 ).
   Google Scholar
• Steiniger , S. and Weibel , R. 2007 . Relations among map objects in cartographic generalization . Cartography and Geographic Information Science , 34 : 175 – 197 .
   Google Scholar
• Stigmar, H. and Harrie, L., 2008. Usability testing of legibility constraints. In: Proceedings of the 11th ICA workshop on generalization and multiple representation. Montpellier, France. http://aci.ign.fr/montpellier2008/papers/03_Stigmar_Harrie.pdf (http://aci.ign.fr/montpellier2008/papers/03_Stigmar_Harrie.pdf) (Accessed: 2 November 2010 ).
   Google Scholar
• van Elzakker , C. and van de Berg , W.P.E. 2009 . Topografische ondergronden voor plankaarten: een gebruikersonderzoek . Geo-Info: tijdschrift voor geo-informatie Nederland , 6 ( 3 ) : 64 – 69 .
   Google Scholar
• van Oosterom , P. 2005 . Variable-scale topological data structures suitable for progressive data transfer: the GAP-face tree and GAP-edge forest . Cartography and Geographic Information Science , 32 ( 4 ) : 331 – 346 .
   Google Scholar
• van Oosterom, P., et al. 2001. Multi-source cartography in Internet GIS. In: M. Konecny, ed. Proceedings of the 4th AGILE conference. Brno, Czech Republic. 562–573. http://www.gdmc.nl/publications/2001/Multi-source_cartography_internet.pdf (http://www.gdmc.nl/publications/2001/Multi-source_cartography_internet.pdf) (Accessed: 28 April 2005 ).
   Google Scholar
• Weibel , R. and Dutton , G. 1999 . “ Generalising spatial data and dealing with multiple representations ” . In Geographic Information Systems – Principles and Technical Issues , Edited by: Longley , P. 125 – 155 . New York : John Wiley & Sons .
   Google Scholar
• Wilson , D. , Bertolotto , M. and Weakliam , J. 2010 . Personalizing map content to improve task completion efficiency . International Journal of Geographical Information Science , 24 ( 5 ) : 741 – 760 .
   Web of Science ®Google Scholar
• Wooldridge , M. 2002 . An introduction to multiagent systems , Liverpool , UK : John Wiley & Sons .
   Google Scholar
• Yang , C. and Tao , C.V. 2006 . “ Distributed geospatial information services ” . In Frontiers of geographic information technology , Edited by: Rana , S. and Sharma , J. 103 – 120 . New York : Springer .
   Google Scholar