ImageSnippets is a complete metadata editing interface that enables someone who knows little to nothing about RDF, OWL, ontologies, or even URIs to create descriptions for images using Linked Data (also known as structured data) which is written in RDF
This type of metadata can then be used as part of the overall management of the assets. Your metadata is published openly as 5-star linked data to a triple store, which can be queried through our SPARQL endpoint and accessed at /dataset/
RDF metadata is persistent, transportable, and read by semantically-aware machines.
As ImageSnippets uses linked data on all of its images, an entire database of images can be easily sorted. When proper and consistent data is provided to all images, a user can utilize ImageSnippets semantic search technology to help find a single image out of many others. This is supported by our “Triple Tags.” These tags connect a subject, property, and term. The term often comes from online databases such as DBPedia, Yago, and Art and Architecture Thesaurus. If a term is not available, a user can generate their own database with individual entities within the ImageSnippets software.
-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.
By utilizing ImageSnippets’ triple tags, as well as other structured data you can add to your images, searching for images becomes much easier. By using the linked data, ImageSnippets provides more refined results based on the structured data attached to that image with a subject,property and object value.
Your metadata is published as 5-star linked data openly and daily to our triple store that can be queried with our SPARQL endpoint and accessed through datahub.io. Not only can 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 an asset management 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 can be datasets that evolve as part of the curation process. The creation and evolution of the dataset terms can be orchestrated exclusively by an administrator or with collaborative input from a team of users.
Images managed in ImageSnippets can be shared on almost any social media site or webpage where links are shareable. If you choose to share an image from the application, shortcut options are available for sharing to sites like Google+, Facebook, and Twitter. You can also paste a short URL link to share the image. Clicking a link shared from ImageSnippets displays the image and basic information you have added, including copyright terms. Triple tags and other metadata are preserved with a triple store, in the html file; additional metadata (including desired IPTC and EXIF data) remain embedded in the image itself along with a link back to the file containing the triple data.
Images published on Web media are often stripped of their descriptive metadata. ImageSnippets records XMP metadata in RDF and provides a separate record of ownership and copyright information that cannot be stripped from the image. ImageSnippets additionally places a URI into the XMP of all published images which links back to the file containing the RDFa data. This creates a ‘link cycle’ connecting published images to a permanent record of their ownership and copyright metadata, making it harder for the image to become an orphan work.
Images shared online are often falsely attributed to incorrect events or with incorrect history. User’s rights are violated because copyright intentions are not always clearly known or visible when images are shared. ImageSnippets records those rights in a way that is both clearly visible and also easily read by machines and search engines.
ImageSnippets can generate output as JSON-LD or other RDF syntax forms. The standard default snippet is an HTML file containing RDFa. This can be published directly to public media such as Facebook, and the body of such a snippet can be pasted into Web pages where the RDFa is transparent to browser rendering.