As the summer sun blazes on, there’s no better time to immerse yourself in some of the latest and most impactful works in the fields of data science, AI, and digital transformation. This year, the UPCAST Project has released a series of publications that are not only timely but also essential for anyone looking to stay ahead in the rapidly evolving world of technology.
1️⃣ Consent Management in Data Workflows: A Graph Problem
By George Konstantinidis, University of Southampton
If you’re interested in the complexities of data workflows and how consent is managed within them, this publication is a must-read. George Konstantinidis delves into the graph-theoretic challenges of consent management, offering fresh insights into how data governance can be improved in our increasingly data-driven world.
2️⃣ Data Marketplaces in the AI Economy
By George Konstantinidis, Luis Daniel Ibáñez, Dumitru Roman, University of Southampton, SINTEF
Data marketplaces are becoming the backbone of the AI economy, and this publication explores their dynamics, challenges, and opportunities. The authors provide a comprehensive overview of how data can be monetized and the role of data marketplaces in fostering innovation and economic growth.
3️⃣ Selling Decentralized Knowledge Graphs
By Luis Daniel Ibáñez, George Konstantinidis, University of Southampton
Decentralized knowledge graphs are revolutionizing how we think about data interoperability and accessibility. This work discusses the potential and challenges of selling and maintaining decentralized knowledge graphs, making it essential reading for anyone interested in the future of data management.
4️⃣ ForBackBench: From Database to Semantic Web Mappings and Back
By George Konstantinidis, University of Southampton
For those intrigued by the intersection of databases and the Semantic Web, this publication offers a deep dive into the ForBackBench framework. It provides valuable insights into how data can be seamlessly mapped between traditional databases and the Semantic Web, facilitating more intelligent data integration.
5️⃣ White Paper on the Definition of Data Intermediation Services
By Andrea Palumbo, KU Leuven
This white paper is a critical resource for understanding data intermediation services, which play a pivotal role in the modern data economy. Andrea Palumbo outlines the key definitions and frameworks that will shape the future of data intermediation, making this an essential read for policymakers and practitioners alike.
Happy reading! 📚☀️😎
For more details and to access these publications, visit the UPCAST Project page.