Using SPARQL queries and Javascript libraries, we built a web-based tool for exploring Harvard data converted in the course of the LD4L Labs and LD4P grants. Our goals included visualizing the results of complex queries, demonstrating the use of linked data from external resources to improve discovery, giving individual items context within collections, and in the wider world, providing a user interface that aspires to serendipitous encounters and new observations. The resulting demonstration site uses WebGL and three.js to execute large-scale, three-dimensional, manipulable visualizations of entities representing library resources, driven by live queries on an AWS Neptune triplestore, the Wikidata SPARQL endpoint, and the Geonames API, with the flexibility to
A front end visualization tool that makes real time queries against Neptune was developed. The UI includes:
Visualization features:
The stack is:
Code for the visualization tools can be found at:
https://github.com/ld4l-labs/geoviz
https://github.com/ld4l-labs/filmviz
The tool was presented at the LD4 Workshop at Stanford in May 2018: https://docs.google.com/presentation/d/1kt3QzCgLRMv19b1Q234ixSaHYomOdHvb49AwhBMUvyM/edit?usp=sharing
See http://visualgraph.harvard.maptian.com/
Sample user interface and visualization displays:
DIsplay
UI