Increasing the AI-readiness of Data Spaces with Knowledge Graphs

Data Spaces can benefit from the use of Knowledge Graphs to improve semantic data discovery and interoperability and to increase the quality of provided data. Recent advances in methods and tools for building, maintaining and querying knowledge graphs have shown impact both as enablers for better data management, data governance, sharing and exchange; as well as advanced analytics and recommendations. In this session, we will shed light on recent developments for handling the life cycle of large-scale knowledge graphs (build, maintain, query), and their applications in selected domains, emphasizing their ability to integrate heterogeneous data from diverse sources.
The session will consist of talks on recent technological approaches related to the development and use of Knowledge Graphs, exemplified by sustainable business cases, including applications in the agrifood sector, Industry 4.0 and Health Care from a range of European projects. After the introductory talks, an expert panel, consisting of both technology and business experts will discuss the current and future impact of Knowledge Graphs in context of current AI developments.