WITH

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Title: WITH
Team: Vassilis Tzouvaras, Athanasios Drosopoulos

Short description:

WITH is a platform that provides services for content aggregation, management, interoperability, visualization, publication and reuse. It uses datasets published from different portals and repositories of Linked Open Data, together with a powerful search interface, a multi-functional backend and a fully accessible API. This allows to easily search for cultural resources, group them in collections, automatically enrich them, make virtual exhibitions and export for reuse. WITH provides easy, free access to LOD and artificial intelligence tools that enrich content with state of the art algorithms. We invite you to try our platform and be part of its constant evolution.

11 votes, average: 4.18 out of 511 votes, average: 4.18 out of 511 votes, average: 4.18 out of 511 votes, average: 4.18 out of 511 votes, average: 4.18 out of 5 (11 votes, average: 4.18 out of 5)
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Long description:

WITH is a platform that provides services for content aggregation, management, interoperability, visualization, publication and reuse. It uses datasets published from different portals and repositories of Linked Open Data, together with a powerful search interface, a multi-functional backend and a fully accessible API. Cultural content can be imported through the MINT platform, many other sources of formatted data, and primarily through APIs provided by different institutions from all over the world, like Europeana, the Digital Public Library of America, Rijks Museum, National Library of Australia and many others. The platform allows to easily search for the cultural resources and to group them in collections. Search is easy, fast and precise. Using dynamically generated facets, you can narrow down your results with precision. Items can be saved in collections. Through the WITH API, meta-data associated to items in a collection can be exported as ontologies assertions in OWL format and can later be used in different reasoning tasks to enrich the quality of the content in the platform. The items imported to the platform contain meta-data describing the items, but can be further annotated to provide additional information. The annotation process can be done manually by adding tags from different thesaurus and vocabularies, or automatically through term detection, natural language processing and image analysis using machine learning. These annotations can be accepted or rejected by users. You can also add Geo tags corresponding to locations associated to the item. Developers can create their own new external tools using the API. Our first tool is a classifier that can be trained using the exported content from different collections and is able to predict whether other items should belong or not to a target collection. Items from collections can be used to create exhibitions and present them interactively. This way, innovation is promoted and we also demonstrate the social and economic value of the cultural content, while creative new uses for digital cultural heritage are introduced. The WITH platform provides free and easy access to Linked Open Data and artificial intelligence tools that enrich the content with state of the art algorithms. We invite you to try our platform and be part of its constant evolution.

Team members: WITH

Country: Greece

 

loghi

Fondazione Giorgio Cini Europeana
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regesta.exe

Linking sponsors

OCLC AARNet

Supporting sponsors


The Getty Casalini Libri

Challenge sponsors

Synaptic

Travel awards sponsors

Digital Library Federation
ExLibris

con il patrocinio

With the patronage of


AgID MAECI Alliance of Digital Humanities Organizations ICOM Italia anai
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