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Topographic mapping data semantics through data conversion and enhancement: Chapter 7

By:
, , ,
Edited by:
Naveen Edited by Ashish, Amit P. Sheth
DOI: 10.1007/978-1-4419-9446-2_7

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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.

Additional Publication Details

Publication type:
Book chapter
Publication Subtype:
Book Chapter
Title:
Topographic mapping data semantics through data conversion and enhancement: Chapter 7
DOI:
10.1007/978-1-4419-9446-2_7
Volume
12
Year Published:
2011
Language:
English
Publisher:
Springer
Contributing office(s):
Center of Excellence for Geospatial Information Science (CEGIS)
Description:
18 p.
Larger Work Type:
Book
Larger Work Subtype:
Other Government Series
Larger Work Title:
Geospatial semantics and the semantic web
First page:
145
Last page:
162
Country:
United States