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Abstract
Semantic technology based on the Resource Description Framework (RDF) modeling environment has introduced new data management capabilities that can lead to innovative cartographic techniques. This report describes research toward more semantically expressive linked geospatial data mapping, topics of research, and an avenue for further international collaboration.
Publication type | Report |
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Publication Subtype | Other Report |
Title | Semantically supported linked data mapping |
Year Published | 2019 |
Language | English |
Publisher | International Cartography Association |
Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
Description | 4 p. |
Larger Work Type | Report |
Larger Work Subtype | Other Report |
Larger Work Title | 2019 US national report (US National Committee for the International Cartographic Association) |
Google Analytic Metrics | Metrics page |