Heritage related to Nazi Persecution (HNP) appears in various forms such as diaries, letters and testimonies that capture memories of eyewitnesses, or registers like death records, deportation statistics and historical photographs that provide important contextual information to these memories. MEMORISE will create a framework to preserve and enhance HNP by virtualising and linking multimodal HNP data resources and by developing and offering novel digital technologies to the general public for accessing, exploring and engaging with HNP. The heart of MEMORISE will be an HNP infrastructure to assist consortial and associated memorial sites and archives in processing 80,000+ HNP content items to make them persistently accessible to the public. We will develop a suite of digital tools for presenting, narrating and engaging with HNP data including a web-based HNP platform for unguided exploration, an HNP reader to support comparative readings as well as three on-site and virtual learning interfaces to support general public users in interacting with HNP in new ways. To generate individualised experiences for these interfaces, MEMORISE will develop a user model and an AI engine for individualised content based on user behavior and preferences. Semi-automated AI-based services will be a major component of our data processing pipeline to feed Dutch, English and German HNP materials into the HNP infrastructure. We will develop an educational concept to evaluate the benefits and limitations of our user interfaces for learning on and engaging with HNP in on-site and virtual visits, especially in times of a pandemic with relevance for a large array of adjacent memorial sites and creative industries. Our social media concept will target engaging digital native generations to explore HNP. To exploit our results, we will develop an intersectional toolkit including best-practices to accelerate the use of digital tools in cultural heritage and adjacent cultural industries.

Language technologies increasingly rely on large amounts of data and better access and usage of language resources will enable to provide multilingual solutions that would support the emerging Digital Single Market in Europe. However, data is rarely ‘ready-to-use’ and language technology specialists spend over 80% of their time on cleaning, organizing and collecting datasets. Reducing this effort promises huge cost savings for all sectors where language technologies are required. An essential part of the Extract-Transform-Load process involves linking datasets to existing schemas, yet few specialists take advantage of linked data technologies to perform this task. In this project we aim to increase the uptake of language technologies by exploiting the combination of linked data and language technologies, that is Linguistic Linked Open Data (LLOD), to create ready-to-use multilingual data. Prêt-à-LLOD aims to achieve this by creating a new methodology for building data value chains applicable to a wide-range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies, in particular the usage of Linguistic Linked Open Data (LLOD). The project will develop novel tools for the transformation and linking of datasets, and apply these to both data and metadata in order to provide multi-portal access to heterogeneous data repositories. We will study how we can automatically analyze licenses in order to deduce how data may be lawfully used and sold by language resource providers. Finally, we will provide tools to combine language services and resources into complex pipelines by use of semantic technologies. This will lead to sustainable data offers and services that can be deployed to many platforms, including as-yet-unknown platforms, and can be self-described with linked data semantics. This toolkit will be validated in four pilots, where novel data value chains will be built for pharma

The emergent European Data Economy relies on the availability of data as a basis for further innovation and exponential development of technologies, especially the development of trustworthy ‘made in Europe’ AI that reflects European values. Data Spaces, platforms and marketplaces are enablers, key to unleash the potential of such data. However, data sharing and data interoperability are still at their infancy. Through DataBri-X, European Data Spaces, platforms and marketplaces and their wide range of business, governmental and public, research and civil society stakeholders will be equipped with a holistic and flexible data governance process and a seamless integrated standards based toolbox for data- and metadata management which can be assembled along relevant requirements, provides open source as well as commercial tools (the bricks / bri-X), and mechanisms to load 3rd party resources like language resources or AI models, and can be easily deployed into Data Spaces and thereby will contribute to make Europe the most successful area in the world in terms of data sharing and data re-use, to gain the full benefit from the value of data, while respecting the legal framework relating to security and privacy. The project's objective is to provide a holistic, energy-efficient and user-friendly toolbox of practical, robust and scalable bricks/Bri-X (processes, technologies and tools) that improve the interoperability, usability, discoverability, quality, and integrity of data and metadata, with the aim of making data sets ready for expanded digital value creation in the context of European Data Spaces. The DataBri-X toolbox will be offered in compliance with accountability, fairness, privacy, and confidentiality regulations as well as FAIR principles and will build on existing and emerging initiatives. The DataBri-X consortium comprises 14 partners from 6 EU members and 1 associated country (UK), that together form a complete value chain of actors.