| Feature | Description |
|---|---|
| AI Augmented Annotation | 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. |
| Linked Data Annotation System | 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. |
| Preserving Copyright Information | ImageSnippets preserves copyright information by embedding it in the image file, making it difficult to strip when sharing and publishing. This ensures that copyright intentions are clearly visible and easily read by machines and search engines. |
| Semantic Search Technology | 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. |
| Triple Tagging Techniques | ImageSnippets employs triple tagging techniques to create multi-modal representations of domain knowledge interwoven with images. This flexibility allows for a variety of graphing tasks, making it easier to manage and retrieve images based on linked data. |
| User | Description |
|---|---|
| GLAM Institutions | Galleries, Libraries, Archives, and Museums (GLAM) that manage large collections of images and require robust systems for metadata management and image sharing. |
| Image Curators and Archivists | Individuals or organizations involved in archiving, curating, or sharing images on the web. They benefit from tools that help manage, annotate, and preserve images with rich metadata. |
| Image Publishers | Anyone publishing and sharing images online who needs to ensure that metadata and copyright information are preserved and accurately represented. |
| Researchers and Nonprofits | Researchers and nonprofit organizations that need to manage and share image data without incurring high costs. They benefit from free access to the basic ImageSnippets system. |
| GLAM Institutions | Image Curators and Archivists | Image Publishers | Researchers and Nonprofits | |
|---|---|---|---|---|
| AI Augmented Annotation |
Speeds up the annotation process for image publishers while maintaining control over the precision and context of metadata. | |||
| Linked Data Annotation System |
Allows curators and archivists to add detailed, linked open data descriptions to images, enhancing the management and sharing of image collections. | |||
| Preserving Copyright Information |
Ensures that copyright information is preserved and visible, protecting the rights of image publishers when sharing images online. | |||
| Semantic Search Technology |
Enables GLAM institutions to efficiently find and manage images within large collections using semantic search capabilities. | |||
| Triple Tagging Techniques |
Facilitates the creation of complex, searchable metadata structures, aiding researchers and nonprofits in organizing and retrieving image data. |
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