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Collaborative geoVisualization: Object-Field Representations with Semantic and Uncertainty Information

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On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops (OTM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3762))

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Abstract

Techniques and issues for the characterisation of an object-field representation that includes notions of semantics and uncertainty are detailed. The purpose of this model is to allow users to capture objects in field with internally variable levels of uncertainty, to visualize users’ conceptualizations of those geographic domains, and to share their understanding with others using embedded semantics. Concepts from collaborative environments inform the development of this semantic-driven model as well as the importance of presenting all collaborators’ analysis in a way that enables them to fully communicate their views and understandings about the object and the field within it. First, a conceptual background is provided which briefly addresses collaborative environments and the concepts behind an object-field representation. Second, implementation of that model within a database is discussed. Finally, a LandCover example is presented as a way of illustrating the applicability of the semantic model.

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References

  1. Comber, A.J., Fisher, P., Wadsworth, R.: Integrating land cover data with different ontologies: identifying change from inconsistency. International Journal of Geographical Information Science 18(7), 691–708 (2004)

    Article  Google Scholar 

  2. Couclelis, H.: People manipulate objects (but cultivate fields): Beyond the raster-vector debate in GIS. In: Frank, A.U., Formentini, U., Campari, I. (eds.) GIS 1992. LNCS, vol. 639, pp. 65–77. Springer, Heidelberg (1992)

    Google Scholar 

  3. Cova, J.T., Goodchild, M.F.: Extending geographical representations to include fields of spatial objects. Internation Journal of Geographical Information Science 16(6), 509–532 (2002)

    Article  Google Scholar 

  4. Dykes, J., MacEachren, A.M., Kraak, M.L.: Exploring Geovisualization. In: Dykes, J., MacEachren, A.M., Kraak, M.L. (eds.) Exploring Geovisualization. Elsevier, Amsterdam (2005)

    Google Scholar 

  5. Fisher, P.F.: Multimedia Reporting of the Results of Natural Resource Surveys. Transactions in GIS 7(3), 309–324 (2003)

    Article  Google Scholar 

  6. Guarino, N.: Formal ontology and information systems. In: Guarino, N. (ed.) 1st International Conference on Formal Ontology in Information Systems. IOS Press, Trento (1998)

    Google Scholar 

  7. Jung, S., Voser, A.V., Ehlers, M.: Hybrid spatial analysis operations as a foundation for integrated GIS. IAPRS 32(4), 276–280 (1998), http://www.ifp.uni-stuttgart.de/publications/commIV/jung87neu.pdf [23rd June, 2005]

    Google Scholar 

  8. Molenaar, M.: An introduction to the theory of spatial object modelling. Taylor and Francis, London (1998)

    Google Scholar 

  9. Peng, Z.P.: A proposed framework for feature-level geospatial shating: a case study for transportation network data. International Journal of Geographical Information Science 19(4) (2005)

    Google Scholar 

  10. Smith, B., Mark, M.M.: Do mountains exist? Towards an ontology of landforms. Environment and Planning B: Planning and Design 30, 411–427 (2002)

    Article  Google Scholar 

  11. Tremblay, J.P., Sorenson, P.G.: An Introduction to Data Structures with Applications. McGraw-Hill, Auckland (1985)

    Google Scholar 

  12. Winter, S.: Bridging vector and raster representations in GIS. In: Laurini, R., Makki, K. (eds.) Proceedings of the 6th International Symposium on Advances in Geographic Information Systems, pp. 57–62. ACM Press, Washington (1998)

    Google Scholar 

  13. Winter, S., Frank, A.U.: Topology in raster and vector representation. GeoInformatica 4(1), 35–65 (2000)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. giCentre, Department of Information Science, City University, London, UK

    Vlasios Voudouris, Jo Wood & Peter F Fisher

Authors
  1. Vlasios Voudouris
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  2. Jo Wood
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  3. Peter F Fisher
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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© 2005 Springer-Verlag Berlin Heidelberg

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Voudouris, V., Wood, J., Fisher, P.F. (2005). Collaborative geoVisualization: Object-Field Representations with Semantic and Uncertainty Information. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_128

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  • DOI: https://doi.org/10.1007/11575863_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29739-0

  • Online ISBN: 978-3-540-32132-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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