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GeoCosm: A Semantics-Based Approach for Information Integration of Geospatial Data

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Conceptual Modeling for New Information Systems Technologies (ER 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2465))

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Abstract

Information integration implies access to distributed information sources without interfering with the autonomy of the underlying data sources. Integration of distributed geospatial data requires a mechanism for selecting the data sources and performing data processing operations on the selected sources efficiently. We describe a semantics-based information integration approach that uses a spatio-temporal semantic model to define the geospatial information content of the sources, employs a conflict resolution ontology to resolve semantic heterogeneity, and uses geospatial metadata to help the users evaluate usefulness of the available data sources. We show how the captured metadata can be used for efficient query planning. Based on our proposed approach, we are developing GeoCosm, a web-based prototype that would help integrate autonomous distributed heterogeneous geospatial data.

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Author information

Authors and Affiliations

  1. Department of MIS, University of Arizona, Tucson, AZ, 85721, USA

    Sudha Ram, Vijay Khatri, Limin Zhang & Daniel Dajun Zeng

Authors
  1. Sudha Ram
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  2. Vijay Khatri
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  3. Limin Zhang
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  4. Daniel Dajun Zeng
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Editor information

Editors and Affiliations

  1. Graduate school of environment and information sciences, Yokohama National University, 79-7, Tokiwadai, Hodogaya-ku, yokohama, 240-8501, Japan

    Hiroshi Arisawa

  2. Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida, Sakyo, Kyoto, 606-8501, Japan

    Yahiko Kambayashi

  3. SICE Computer Networking, University of Missouri-Kansas City, 5100 Rockhill Road, Kansas City, MO, 64110, USA

    Vijay Kumar

  4. University of Klagenfurt, Universitätsstraße 65-67, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  5. VP Industry Services DAMA International, PO Box 5786, Bellevue, WA, 98006-5786, USA

    Ingrid Hunt

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© 2002 Springer-Verlag Berlin Heidelberg

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Ram, S., Khatri, V., Zhang, L., Zeng, D.D. (2002). GeoCosm: A Semantics-Based Approach for Information Integration of Geospatial Data. In: Arisawa, H., Kambayashi, Y., Kumar, V., Mayr, H.C., Hunt, I. (eds) Conceptual Modeling for New Information Systems Technologies. ER 2001. Lecture Notes in Computer Science, vol 2465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46140-X_13

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  • DOI: https://doi.org/10.1007/3-540-46140-X_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44122-9

  • Online ISBN: 978-3-540-46140-1

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