A Knowledge Lake Management System For The Agrifood Data Space
S TELAR will develop a Knowledge Lake Management System (KLMS) to support FAIR and AI-ready data, (semi-)automatically turning a raw data lake into a knowledge lake. This is achieved by:
Enhancing the data lake with a knowledge layer:
• a Data Catalog offering automatically enhanced metadata for the data assets in the lake
• a Knowledge Graph that semantically describes and interlinks these data assets using suitable domain ontologies and vocabularies
A set of data management tools and workflows for:
• data discovery and quality management
• data linking and alignment
• data annotation and synthetic data generation
The KLMS will:
• enable finding and selecting relevant data sources
• facilitate configuring and tuning the data management tools
• support designing, executing and monitoring end-to-end data processing workflows
• treat geospatial data, time series, and text as first-class citizens
• be pilot tested in use cases relevant to the agri-food sector