Identifying, linking and analysing cultural, environmental and economic issues in Estonian Public Broadcasting content.

The project focuses on developing a new linked metadata layer based on ERR content and a method for analyzing the evolution of media representations and their interrelationships. It will create a knowledge graph from ERR's television, radio, and web content, connecting cultural, economic, and environmental themes. In the first phase, metadata from different ERR media formats will be analyzed, and thematic text corpora will be created. The second phase involves developing new data ontologies using international and local frameworks. The third phase applies machine learning models, including EstBERT, to construct the knowledge graph. The final phase uses the graph to analyze evolving discourses. The graph will be also used as an element in the permanent exhibition of Estonian National Museum. The project introduces a novel approach for studying the development of Estonian culture, economy, and environmental representations in ERR content, with potential broader applications.