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A Semantic Technology System for National Topographic Data

Authors: Dalia Varanka*, United States Geological Survey
Topics: Geographic Information Science and Systems, Spatial Analysis & Modeling, Social Geography
Keywords: Geospatial semantics, Ontology properties, Social space
Session Type: Paper
Day: 4/10/2020
Start / End Time: 11:10 AM / 12:25 PM
Room: Virtual Track 1
Presentation File: No File Uploaded


Semantic technology aims to create an Internet capable of being fully understood and operated on by machines. This presentation covers the work currently being done by the U.S. Geological Survey (USGS) Center of Excellence for Geospatial Information Science (CEGIS) on applying Semantic Web concepts to USGS topographic data. The system being created is being used to test two research objectives: 1) the feasibility of the approaches taken by the Semantic Web for geospatial data within the role played by national topographic data for a variety of applications combined with other datasets, and 2) to contribute to building a body of knowledge about system architecture for geospatial ontologies and linked open data. This presentation discusses the problem and aims, the context of topographic data semantics, and the basic workflow and operations of the system. The created system consists completely of open-source software. It is being used to store, convert, process, and link geographical data to the rest of the Linked Open Data (LOD) cloud. The discussion will review past and current roadblocks and explore possible future work and directions.

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