Data silos dominate the health sector, and relevant patient data is scattered across heterogeneous data sources and fragmented biomedical vocabularies. The data silos, more often than not, prevent a combination, analysis, and re-use of these data and thus forestall the evolution of invaluable insights for decision-making in healthcare. This talk will position knowledge-driven ecosystems as powerful frameworks for integrating health data silos into knowledge graphs. Ontologies describe the meaning of the combined data, and mapping rules enable the declarative definition of the transformation and integration processes.
individualized decision-making.
SeWebMeDa-2023: 6th International Workshop on Semantic Web solutions for large-scale biomedical data analytics,