Abstract
The Semantic Web is an endeavour aiming at enhancing Web data with meta-data and data processing, as well as processing methods specifying the “meaning” of such data and allowing Web-based systems to take advantage of “intelligent” reasoning capabilities. The representation of the meaning of data essentially requires the development of a world model. Ontologies, for example, are logical descriptions of world models. In this paper we investigate what it means to develop a world model for “geospatial” data that can be used for Semantic Web applications. Different aspects are analysed and a proposal for a concrete architecture is developed. The architecture takes into account that geospatial data (road maps etc.) are usually owned by companies and only accessible through their interfaces. The article also argues that, to complement standard, general purpose, logic-based data modelling and reasoning methods, as e.g. offered by RDF and OWL and reasoners for these languages, location reasoning is best tackled using graphs for data modelling and well-established algorithms for reasoning. Hence, the article illustrates, for the practical case of location reasoning for providing guidance, the thesis that, on the Semantic Web, “theory reasoning” is a desirable complement to “standard reasoning”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 279, 35–43 (2001)
Baader, F., Calvanese, D.M., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook. Cambridge University Press, Cambridge (2002)
W3C: OWL Web Ontology Language (2005), http://www.w3.org/TR/owl-guide
Bry, F., Marchiori, M.: Ten Theses on Logic Languages for the Semantic Web. In: Proceedings of W3C Workshop on Rule Languages for Interoperability. W3C, Washington D.C., USA, April 27–28 (2005)
Escrig, M., Toledo, F., Pobil, A.: An overview to qualitative spatial reasoning. In: Current Trends in Qualitative Reasoning and Applications, International Center for Numerical Methods in Engineering, Barcelona, pp. 43–60 (1995)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–271 (1959)
Dijkstra, E.W.: Reflections on [6], circulated privately (1982)
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Ginsberg, M.: Essentials of artificial intelligence. Morgan Kaufmann Publishers Inc., San Francisco (1994)
NAVTEQ: Provider of digital map data (2005), http://www.navteq.com
Tele Atlas: Provider of digital map data (2005), http://www.teleatlas.com
Grande, A., Kraus, B., Wiegand, D.: Standortbestimmung. c’t, Magazin für Computertechnik (#10 / 2004) 84–89 (in German)
Gupta, K., del Pobil, A.P. (eds.): Practical Motion Planning in Robotics. Wiley, Chichester (1998) ISBN: 0-471-98163-X
Cohn, A.G., Bennett, B., Gooday, J., Gotts, N.M.: Qualitative spatial representation and reasoning with the region connection calculus. GeoInformatica 1, 275–316 (1997)
Fikes, R., Nilsson, N.J.: Strips: A new approach to the application of theorem proving to problem solving. Artif. Intell. 2, 189–208 (1971)
Mizzi, D.: A Mobile Navigational Assistance System Using Natural Language Generation. BSc FYP, Department of Computer Science & A.I., University of Malta, Malta (2004)
Scicluna, C.: Multimodal & Adaptive Navigational Advice Generation. BSc FYP, Department of Computer Science & A.I., University of Malta, Malta (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bry, F., Lorenz, B., Ohlbach, H.J., Rosner, M. (2005). A Geospatial World Model for the Semantic Web. In: Fages, F., Soliman, S. (eds) Principles and Practice of Semantic Web Reasoning. PPSWR 2005. Lecture Notes in Computer Science, vol 3703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552222_14
Download citation
DOI: https://doi.org/10.1007/11552222_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28793-3
Online ISBN: 978-3-540-32028-9
eBook Packages: Computer ScienceComputer Science (R0)