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IIIF (International Image Interoperability Framework) is a modern visualisation framework that focuses on interoperability between image repositories. Driven by the growing adoption it enables any IIIF based collection to be seen by any IIIF compliant viewer. This ensures a consistent user experience thanks to advanced visualisation features finetuned for high-resolution content. The IIIF framework mainly relies on two APIs, namely the Imape API and Presentation API. The V1.0 Image API was proposed in late 2011 as a collaboration between The British Library, Stanford University, the Bodleian Libraries (Oxford University), the Bibliothèque nationale de France, Nasjonalbiblioteket (National Library of Norway), Los Alamos National Laboratory Research Library, and Cornell University. The V1.0 Presentation API was published in 2013. Two additional API are now available, the Search API and the Authentication API. You will find all the information and documentation related to IIIF by following the links below :
iiif.io
Awesome IIIF
Machine readable data is becoming a standard for companies and organisations that use it to normalise and connect their informational and content resources, in a movement following the rise of Data Science and Artificial Intelligence.
One can hear a lot of buzz about “Big Data” these days, which reflects a general misconception about the exponential improvements offered by a massive amount of raw data. The more data is good but not necessarily the best. The (more) discriminated data is much better as machines can read and understand it from scratch, hence improving the semantic accuracy of their processes. Enters here Linked Data technologies.
Linked Data (LD) standards has brought a great deal of standardisation in this area, as it is at the foundation of core infrastructures such as semantic driven database such as the Google Knowledge Graphs or AI systems such as IBM Watson. LD even sustains the whole data architecture of Wikipedia/Wikidata, which is at the centre of the Linked Open Data cloud (i.e. Semantic Web), the network connecting all open data repositories complying to LD standards.
You will find more information related to Linked Data by following the links below :
Linked Data
Machine readable data
Knowledge Graph
Linked Open Data Cloud diagram
Europeana.eu is the EU digital platform for cultural heritage. More than 3,000 institutions across Europe have contributed to Europeana. These range from major international names like the Rijksmuseum in Amsterdam, the British Library and the Louvre to regional archives and local museums from every member of the European Union.
Together, their assembled collections let users explore Europe's cultural and scientific heritage from prehistory to the modern day. Mona Lisa by Leonardo da Vinci, Girl with a Pearl Earring by Johannes Vermeer, the works of Charles Darwin and Isaac Newton and the music of Wolfgang Amadeus Mozart are some of the highlights on Europeana.
You will find more information related to Europeana by following the links below :
Europeana platform
Europeana publishing guide