Project description
Innovative data management tools for the agrifood data space
The European Strategy for Data identifies nine data spaces of strategic societal and economic importance, including the agrifood space. The EU-funded STELAR project will design, develop, evaluate and showcase an innovative Knowledge Lake Management System (KLMS) to support and facilitate a comprehensive approach for FAIR and AI-ready data and test it in pilot demonstrations in the agrifood data space. KLMS will allow the semiautomatic turning of a raw data lake into a knowledge lake by enhancing the data lake with a knowledge layer and developing and integrating a series of data management tools and workflows. KLMS tools will support geospatial, temporal and textual data and offer innovative functionalities for data discovery, integration and annotation.
Objective
STELAR will design, develop, evaluate, and showcase an innovative Knowledge Lake Management System (KLMS) to support and facilitate a holistic approach for FAIR (Findable, Accessible, Interoperable, Reusable) and AI-ready (high-quality, reliably labeled) data. The STELAR KLMS will allow to (semi-)automatically turn a raw data lake into a knowledge lake. This is achieved by (1) enhancing the data lake with a knowledge layer, and (2) developing and integrating a set of data management tools and workflows. The knowledge layer will comprise: (a) a data catalog offering automatically enhanced metadata for the raw data assets in the lake, and (b) a knowledge graph that semantically describes and interlinks these data assets using suitable domain ontologies and vocabularies. The provided tools and workflows will offer novel functionalities for: (a) data discovery and quality management; (b) data linking and alignment; and (c) data annotation and synthetic data generation. The KLMS will combine both human-in-the-loop and automatic approaches, to leverage background knowledge of domain experts while minimizing their involvement. To reduce manual effort and time, it will increase the automation of finding and selecting relevant data sources, configuring, and tuning the involved data management tools, and designing, executing, and monitoring end-to-end data processing workflows adapted to different user needs. The KLMS will include specialized tools and functions for geospatial, temporal, and textual data. An organization, ranging from a data-intensive SME to the operator of a data marketplace, will be able to use the STELAR KLMS to increase the readiness of its data assets for use in AI applications and for being shared and exchanged within a common data space. The STELAR KLMS will be pilot tested in diverse, real-world use cases in the agrifood data space, one of the nine data spaces of strategic societal and economic importance identified in the European Strategy for Data.
Fields of science
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
151 25 Maroussi
Greece