The enrichMyData project is engaged in a joint workshop alongside two other groundbreaking projects funded by #horizoneurope UPCAST: Universal Platform Components for Safe Fair Interoperable Data Exchange & Monetisation and the Graph-Massivizer Project. The workshop is hosted by the SINTEF team on 9th of February, 2024, in Trysil, Norway. UPCAST develops a set of universal,

In a recent plenary meeting held in Trysil, Norway, on the 8th of February, the enRichMyData project, a pioneering initiative in data enrichment, laid out a comprehensive plan to address critical recommendations, advance tool development, and align with key events for dissemination. The meeting, attended by project partners, emphasized the importance of prioritising the project’s

The enRichMyData was represented at the Resource Aware Machine Learning workshop at the Danish Digitalization, Data Science and AI 2.0 (D3A) Conference, Nyborg, Denmark, on the 1st and 2nd of February 2024. This workshop aimed at reasoning critically about how we build software and hardware for end-to-end Machine Learning (ML). The fruitful discussions led to

Imagine a world where information is not isolated in silos but connected in a vast web of knowledge, where data isn’t just a collection of facts but a dynamic and interconnected tapestry of insights. That’s what knowledge graphs bring to the table. The enRichMyData, alongside STELAR, DataCloud and GraphMassivizer projects, were presented in the “Knowledge

Could you offer a concise summary of your professional background and the expertise you contribute to the enrichMyData initiative? I’m a researcher in Artificial Intelligence. I contribute expertise primarily in Artificial Intelligence, more specially, Machine Learning and Deep Learning with the primary field of application being Natural Language Processing. What inspired your decision to participate

Dive deep into the enRichMyData project in this exclusive interview with two of its critical minds, Matteo Palmonari and Dumitru Roman! “Data enrichment plays a crucial role because it facilitates and enables the use of shared data in the context of the data spaces. It lowers the burden on the end-user and provides components, processes,