ImageSnippets is a Linked Data Annotation System that allows users to add 5-star linked open data descriptions to images. It supports the use of industry-standard rich linked open data (LOD), embedded metadata, and alt-text descriptions for accessibility. The system preserves schema.org, JSON-LD, and RDFa with images. This allows publishers, curators and archivists to add detailed, linked open data descriptions to images, enhancing the management and sharing of image collections.

ImageSnippets employs triple-tagging techniques to create multi-modal representations of domain knowledge interwoven with images. This makes it easier to manage and retrieve images based on linked data.

The image annotation and publishing tools in ImageSnippets are augmented by AI techniques to speed up the annotation process while allowing users to maintain control over context and precision. Linked data connects to precise entities from sources like Wikidata and Dbpedia. This speeds up the annotation process for image publishers while maintaining control over the precision and context of metadata.

ImageSnippets uses semantic search technology to rapidly and reliably find images based on descriptions. The key technology is the RDF graph, which allows for efficient searching and processing by software. This includes ownership, copyright information, provenance, and standard camera-generated metadata. This enables publishers, curators and archivists to efficiently manage images within large collections, and enables their customers to find those images easily.

ImageSnippets preserves copyright information by embedding it in the image file, making it difficult to strip when sharing and publishing, so that copyright intentions are clearly visible and easily read by machines and search engines. This protects the rights of image publishers when sharing images online.

Publishing

Web galleries made with ImageSnippets can be easily updated with new information, which automatically refreshes on all platforms where the content is shared. 

Users can share their work directly through the app. You can easily share images from the app to social media like Google+, Facebook, and Twitter, or use a short URL link. 

You can link your images from Flickr or other URLs, and we'll import all the metadata, including keywords and original links, using a CSV list of image URIs. 

Describing images helps apps search better, makes images easier to find online, and keeps your image and copyright info safe from being removed on social media. You can choose how much information to include with an image. 

Linked data and RDF metadata are used to make information easily shareable, transportable, and readable by machines. This data is published daily and can be queried online. It enhances findability and reusability without altering original files, creating a universal system of interconnected descriptions. 

You can publish HTML files with RDFa directly to social media or websites, and the RDFa won't affect how the page looks to users.

AI helps speed up the annotation process while letting users maintain control over accuracy and context. 

Users can protect their image copyrights online, making it harder for images to be misused or falsely attributed. This helps maintain accurate ownership and history, and aims to improve data preservation without profiting from users' images or data. ImageSnippets helps image creators and curators by preserving copyright information, making it easier to manage and protect their work. Copyright information is always visible and hard to remove when sharing or publishing files.

Curation

You can search, manage, share, and publish images using the same information.

Datasets can be created and updated by administrators or teams, using terms from online databases like DBPedia and Yago. These terms are standardized web identifiers, ensuring consistency and accuracy.

You can control how much you share and manage your information. There are several benefits to this.

You can edit, delete, or add metadata to your image files with our system. If you don't need to change the original file, sharing through us is easy and beneficial for large organizations.

GLAM Institutions

How GLAM institutions in particular can benefit - TBA.

Research/Nonprofit

How research/nonprofit Institutions in particular can benefit - TBA.

Images are great for highlighting and understanding key ideas. Explore linked data by flipping images to see their metadata and view related information.