Data Space

Data spaces are emerging as a crucial framework for managing and sharing large, heterogeneous datasets, particularly in domains like the Internet of Things and cultural heritage. Current research focuses on improving data space interoperability through semantic search techniques, often leveraging large language models and network graph analysis to address ontological inconsistencies and optimize data retrieval. These advancements aim to enhance the efficiency and accessibility of data, enabling more effective data-driven applications and fostering collaboration across diverse scientific communities and industries.