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SEDIMARK D3.3 “Enabling tools for data interoperability, distributed data storage and training distributed AI models” is a report produced by the SEDIMARK project. It aims at providing insights in relation to progress made for: Data quality is considered to be of the highest importance for companies to improve their decision-making systems and the efficiency of […]

"Much as steam engines energised the Industrial Age, recommendation engines are the prime movers digitally driving 21st-century advice worldwide" Recommender systems are the prime technology for improving business in the digital world. The list is endless, from movie recommendations on Netflix to video recommendations on YouTube, to playlist recommendations on Spotify, to best route recommendations […]

In the strive to achieve interoperability in information models, it is important to relate concepts that we define in our models to others that have already been developed and have gained popularity. This can be done by reuse, inheritance or an explicit relationship with that concept. There are many approaches to ontology development, but by far, […]

This report represents the first version of the SEDIMARK’s approach on what will be its data sharing platform, as the main entry point to the system from the outside world. Hence, it must touch base not only on the front-end users will interact with but also on added features such as the Recommender system and […]

In response to the growing demand for secure and transparent data exchange, the infrastructure of SEDIMARK Marketplace leverages cutting-edge technologies to establish a resilient network. This is the first version of the decentralised infrastructure and access management mechanisms. This deliverable presents a comprehensive overview of the decentralized infrastructure and access management mechanisms implemented in the […]

This document is the first deliverable from WP3, aiming to provide a first draft of the SEDIMARK data quality pipeline. This document details how the pipeline aims to improve the quality of datasets shared through the marketplace while also addressing the problem of energy efficiency in the data value chain. This document is actually the […]

Machine Learning (ML) algorithms have demonstrated remarkable advancements across diverse fields, evolving to become more intricate and data-intensive.  This evolution is particularly driven by the expanding size of datasets and the infinite growing nature of data streams. However, this substantial progress has come at the cost of intensified energy consumption, emphasizing the urgent requirement for […]

The document is the first deliverable of WP5 and reports the results of T5.1 activities aimed at recommending an evaluation methodology, performance metrics, and a timetable for the integration of the SEDIMARK platform according to the rules of decentralization, trustworthiness, intelligence, data quality, and interoperability. This deliverable is important because it defines the evaluation methodology, […]

Nowadays, users register to a service and, usually, the service itself stores the users data - the identity. Today the majority of online services are centralized and rely, in some form, on a single authority for identity management. SEDIMARK instead aims to be a fully decentralized data Marketplace. This architectural choice has consequences also on […]