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Ontology Matching for Spatial Data Retrieval from Internet Portals

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GeoSpatial Semantics (GeoS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3799))

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Abstract

This paper analyses reported difficulties in spatial data retrieval from Internet portals, based on results from an empirical survey. The analysis reveals the problems which cause user dissatisfaction and failure in the search process for spatial data sets. These problems are addressed in a new data search architecture. Within the architecture, the paper focuses on query expansion, which helps to overcome mismatches between the user’s taxonomy of geographic features and the taxonomies in the knowledge base of the metadata search engine. The proposed data search architecture is formalized in an algebraic specification language, followed by the simulation of a search scenario for spatial data. The simulation demonstrates the advantage of query expansion techniques over simple keyword matching.

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Author information

Authors and Affiliations

  1. Department of Geography, St. Cloud State University, 720 Fourth Avenue South, St. Cloud, MN, 56301, USA

    Hartwig H. Hochmair

Authors
  1. Hartwig H. Hochmair
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Editor information

Editors and Affiliations

  1. Center for Web Research, Chile

    M. Andrea Rodríguez

  2. Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street (M/C 152), 60607, Chicago, IL, USA

    Isabel Cruz

  3. National Polytechnic, Institute, Mexico, Centro de Investigacion en Computacion, Mexico

    Sergei Levashkin

  4. National Center for Geographic Information and Analysis and Department of Spatial Information Science and Engineering, University of Maine, Boardman Hall, 04469-5711, Orono, ME, USA

    Max J. Egenhofer

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© 2005 Springer-Verlag Berlin Heidelberg

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Hochmair, H.H. (2005). Ontology Matching for Spatial Data Retrieval from Internet Portals. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds) GeoSpatial Semantics. GeoS 2005. Lecture Notes in Computer Science, vol 3799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11586180_12

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  • DOI: https://doi.org/10.1007/11586180_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30288-9

  • Online ISBN: 978-3-540-32283-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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