A Linked Data Map: Using Visual Cartographic Elements to Search Linked Data

Authors: Dalia Varanka*, United States Geological Survey
Topics: Cyberinfrastructure, Cartography, Geographic Information Science and Systems
Keywords: Linked Data; Cartography; Browseable Search
Session Type: Paper
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Grand Ballroom A, Astor, 2nd Floor
Presentation File: No File Uploaded

Geospatial Linked Data (LD) with geographic coordinates can be cartographically represented. The usual approach is to query the data graph with SPARQL Protocol and RDF Query Language (SPARQL) and to map the objects resulting from the query using software such as Open Layers or Leaflet. Less common are mapping interfaces that allow users to directly interact with geospatial features visually depicted as a map; this is true about other associated cartographic elements such as scale, generalization, and legends. This presentation describes research towards linking visual map elements to linked geospatial data for browseable graph searches. The project initially began using Data Driven Document (D3) libraries but has been modified to not only visualize linked data but enable selections and queries. The operations are executed in HyperText Markup Language with JavaScript Object Notation (JSON)-based file formats. A particular challenge is modifying JSON LD, GeoJSON, and graphics properties such as Cascading Style Sheets . The map interface was joined with a Apache Marmotta triplestore and SPARQL endpoint. Results depict a linked data map of topographic data content. Some cartographic design considerations that are possible with LD will be discussed.

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