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LinkedGeoData: Adding a Spatial Dimension to the Web of Data

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 5823))

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Abstract

In order to employ the Web as a medium for data and information integration, comprehensive datasets and vocabularies are required as they enable the disambiguation and alignment of other data and information. Many real-life information integration and aggregation tasks are impossible without comprehensive background knowledge related to spatial features of the ways, structures and landscapes surrounding us. In this paper we contribute to the generation of a spatial dimension for the Data Web by elaborating on how the collaboratively collected OpenStreetMap data can be transformed and represented adhering to the RDF data model. We describe how this data can be interlinked with other spatial data sets, how it can be made accessible for machines according to the linked data paradigm and for humans by means of a faceted geo-data browser.

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References

  1. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Ives, Z.: Dbpedia: A nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Auer, S., Dietzold, S., Lehmann, J., Hellmann, S., Aumueller, D.: Triplify - lightweight linked data publication from relational databases. In: Proceedings of the 17th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, pp. 621–630 (2009)

    Google Scholar 

  3. Brauner, D.F., Intrator, C., Freitas, J.C., Casanova, M.A.: An instance-based approach for matching export schemas of geographical database Web services. In: Proc. of the IX Brazilian Symp. on GeoInformatics (GEOINFO), pp. 109–120 (2007)

    Google Scholar 

  4. Cerbah, F.: Learning highly structured semantic repositories from relational databases. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 777–781. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Do, H.H., Rahm, E.: COMA - A system for flexible combination of schema matching approaches. In: VLDB, pp. 610–621. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  6. Ghawi, R., Cullot, N.: Database-to-ontology mapping generation for semantic interoperability. In: Third International Workshop on Database Interoperability (InterDB 2007), held in conjunction with VLDB 2007 (2007)

    Google Scholar 

  7. Lehmann, J.: DL-Learner: Learning concepts in description logics. Journal of Machine Learning Research (to appear 2009)

    Google Scholar 

  8. Lehmann, J., Hitzler, P.: A refinement operator based learning algorithm for the ALC description logic. In: Blockeel, H., Ramon, J., Shavlik, J., Tadepalli, P. (eds.) ILP 2007. LNCS (LNAI), vol. 4894, pp. 147–160. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Li, M., Du, X., Wang, S.: A semi-automatic ontology acquisition method for the semantic web. In: Fan, W., Wu, Z., Yang, J. (eds.) WAIM 2005. LNCS, vol. 3739, pp. 209–220. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  10. Manguinhas, H., Martins, B., Borbinha, J.L.: A geo-temporal web gazetteer integrating data from multiple sources. In: ICDIM, pp. 146–153. IEEE, Los Alamitos (2008)

    Google Scholar 

  11. Tirmizi, S.H., Sequeda, J., Miranker, D.P.: Translating SQL applications to the semantic web. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds.) DEXA 2008. LNCS, vol. 5181, pp. 450–464. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  12. Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk–a link discovery framework for the web of data. In: Proceedings of the 2nd Workshop about Linked Data on the Web, LDOW 2009 (2009)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Science, Universität Leipzig, Johannisgasse 26, 04103, Leipzig, Germany

    Sören Auer, Jens Lehmann & Sebastian Hellmann

Authors
  1. Sören Auer
  2. Jens Lehmann
  3. Sebastian Hellmann

Editor information

Editors and Affiliations

  1. Wirtschaftswissenschaftliche Fakultät, Institut für Informatik, Universität Zürich, Binzmühlestraße 14, 8050, Zurich, Switzerland

    Abraham Bernstein

  2. Computer Science and Artificial Intelligene Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, 02139, Cambridge, MA, USA

    David R. Karger

  3. Talis Information Ltd., knights Court, Solihull Parkway, Birmingham Business Park, B37 7YB, UK

    Tom Heath

  4. Cambridge Semantics Inc., PO Box 425003, 02142, Cambridge, MA, USA

    Lee Feigenbaum

  5. Computer Science Department, University of Sheffield, 211 Portobello Street, S1 4DP, Sheffield, UK

    Diana Maynard

  6. Knowledge Media Institute (KMi), The Open University, MK7 6AA, Milton Keynes, UK

    Enrico Motta

  7. Department of Computer Science and Engineering, Wright State University, Metadata and Lanugages Laboratory, 3640 Colonel Glenn Highway, 45435, Dayton, OH, USA

    Krishnaprasad Thirunarayan

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© 2009 Springer-Verlag Berlin Heidelberg

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Auer, S., Lehmann, J., Hellmann, S. (2009). LinkedGeoData: Adding a Spatial Dimension to the Web of Data. In: Bernstein, A.,et al. The Semantic Web - ISWC 2009. ISWC 2009. Lecture Notes in Computer Science, vol 5823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04930-9_46

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