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Topographic Mapping Data Semantics Through Data Conversion and Enhancement

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Geospatial Semantics and the Semantic Web

Part of the book series: Semantic Web and Beyond ((ADSW,volume 12))

Abstract

This paper presents research on the semantics of topographic data for triples and ontologies to blend the capabilities of the Semantic Web and The National Map of the U.S. Geological Survey. Automated conversion of relational topographic data of several geographic sample areas to the triple data model standard resulted in relatively poor semantic associations. Further research employed vocabularies of feature type and spatial relation terms. A user interface was designed to model the capture of non-standard terms relevant to public users and to map those terms to existing data models of The National Map through the use of ontology. Server access for the study area triple stores was made publicly available, illustrating how the development of linked data may transform institutional policies to open government data resources to the public. This paper presents these data conversion and research techniques that were tested as open linked data concepts leveraged through a user-centered interface and open USGS server access to the public.

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Author information

Authors and Affiliations

  1. United States Geological Survey, Rolla, MO, USA

    Dalia Varanka

Authors
  1. Dalia Varanka
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  2. Jonathan Carter
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  3. E. Lynn Usery
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  4. Thomas Shoberg
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Corresponding author

Correspondence to Dalia Varanka .

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Editors and Affiliations

  1. University of California - Irvine, Irvine, 92697, California, USA

    Naveen Ashish

  2. Dept. Computer Science &, Engineering, Wright State University, Colonel Glenn Way 3640, Dayton, 45435-0001, Ohio, USA

    Amit P. Sheth

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Varanka, D., Carter, J., Usery, E.L., Shoberg, T. (2011). Topographic Mapping Data Semantics Through Data Conversion and Enhancement. In: Ashish, N., Sheth, A. (eds) Geospatial Semantics and the Semantic Web. Semantic Web and Beyond, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9446-2_7

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  • DOI: https://doi.org/10.1007/978-1-4419-9446-2_7

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  • Online ISBN: 978-1-4419-9446-2

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