ImageSnippets(tm) is for anyone who shares or curates images on the web.
Add 5-star linked data to your images. Sort, manage and publish with the
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ImageSnippets(tm) is a new kind of digital asset management system built on principles from the semantic web.
We are in the process of re-designing this site. In the meantime, if you have any questions or comments, please
email: Margaret Warren directly at: firstname.lastname@example.org
ImageSnippets(tm) enables users to upload or link their image collections into an asset management system that uses Linked Data (LOD) in addition to (or in place of keywords). This type of metadata can then be used as part of the overall management of the assets.
Your metadata is published as 5-star linked data openly and daily to our triple store which can be queried with our SPARQL endpoint and accessed through datahub.io.
Not only can the metadata be added for the purpose of transport, re-use and findability by semantic crawlers, there are numerous benefits to using Linked Data as part of the framework of the asset managment system in general.
Some of the advantages include
- layering more metadata with their images as more knowledge about the images reveals itself in various contexts. The context can be defined by the use of the properties and values of the triples - not by adding more database tables.
- datasets can be ontologies previously engineered and loaded into ImageSnippets, or they could be datasets that evolve as part of the curation process. The creation and evolution of the dataset terms can be orchestrated by an administrator exclusively or with collaborative input from a team of users.
- users can assert their copyrights in a way that is not easily stripped from the image before they share and post; thereby reducing the likelihood their images will be classified as 'orphan works'