Topographic mapping data semantics through data conversion and enhancement
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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.
| 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), National Geospatial Program |
| Description | 18 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Monograph |
| Larger Work Title | Geospatial semantics and the semantic web |
| First page | 145 |
| Last page | 162 |
| Google Analytic Metrics | Metrics page |