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Friday, July 19 • 3:00pm - 4:00pm
Build a Linked Data ImageGraph

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Using the Internet Archive as a server and linking images through ImageSnippets to other datasets such as Wikidata and even possibly publishing through Solid Pods participants will build an image graph from the event, with metadata openly published as linked data in an RDF triple store. The camping experience will inevitably hold many opportunities for image making by the participants; everything from having meals and conversations together, to photos of the surroundings. To document the DWeb camp experience with images and descriptions that can then be mapped into an RDF graph and shared using open linked data principles following the F.A.I.R. principles can be a learning experience for participants as well as a lot of fun and at the end will produce a well documented experience enriched with lots of metadata!

Hopes & Dreams
The collective interpretation of images can be shared as data that can change how people come to agreements in many different fields. Preserving that information using linked data and shared openly makes those images even more valuable to a future web.

Why Participate?
Describing images with linked data metadata is a really interesting project altogether. Being able to formalize image descriptions using datasets such as Wikidata to describe images is fun and it adds a whole new dimension to how we talk about photos. I think this would be a great way for the experiences that people have at the DWeb camp to be archived in a really special way throughout the experience.

Relevant links

Margaret Warren

avatar for Margaret Warren

Margaret Warren

owner/founder/creator, Metadata Authoring Systems, LLC/ImageSnippets
Image Graphs, Knowledge Graphs, Linked Data/Structured Data/RDF, Mesh Network Hardware, Collaborative Art, Art and Image Description on the Web (formalized image description) , Art and Technology in general. Interesting discussions about philosophy, art, ideas about ethics in tec... Read More →

Friday July 19, 2019 3:00pm - 4:00pm PDT
Mesh Hall