Starting today at the Integrated Systems Europe (ISE) trade fair in Barcelona, the Eurecat technology centre is presenting a pilot test of a 3D browsing model enhanced with artificial intelligence for querying large digital collections which helps to streamline access to content. It is designed to get around the constraints of the list format with results sorted alphabetically or chronologically in a straight line from most to least interesting.
The innovation has been undertaken as part of the Metaglam project and is backed by the Library of Catalonia, which has made available the ARCA (Archive of Old Catalan Magazines) digital archive and its collections relating to the artistic avant-garde for running the pilot test.
In conjunction with Coeli and Mobile Media Content, Eurecat has deployed this new browsing technology in a three-dimensional virtual space which harnesses AI to read the content of complete documents and arrange them semantically, thus simplifying and improving access to relevant content in large volumes of available information.
“The new 3D browsing solution delivers relevant results, dynamically grouped by semantic similarity and in an attainable volume in searches in digital collections of any company, organisation or entity,” says Jordi Sans, a consultant specialising in culture and heritage in Eurecat’s Technology Consultancy Department. The aim is to “get around the constraints of the list format with results sorted alphabetically or chronologically in a straight line from most to least interesting.”
The Metaglam research project for improving the way in which collections are made available by enhancing metadata with artificial intelligence and using new forms of three-dimensional browsing is funded by the Ministry of Science, Innovation and Universities under the National Programme to Promote Scientific and Technical Research and Transfer run by the State Research Agency.
