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fair-graphrag
fair-graphrag PublicConstruction of a knowledge graph (KG) from tables that adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. User interface for the FAIR GraphRAG system.
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reducio
reducio PublicSupplementary Materials for the publication "Reducio: Data Aggregation and Stability Detection for Industrial Processes Using In-Network Computing"
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dataspace-demo
dataspace-demo PublicSupplementary material of the project "Dataspaces for Collaborative Research".
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dataset-finder
dataset-finder PublicImplementation of the Dataset Finder, a catalog with dataset description entries pulled from data management plans handled in RDMO.
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StreamFrost
StreamFrost PublicStreamFröst is a decentralized framework for the collaborative creation and execution of cross-organizational data stream processing pipelines. It enables multiple organizations to jointly design, …
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- konda Public
KONDA is a web-based application designed to assist researchers in managing research data effectively. It leverages AI to extract metadata from datasets and papers, transforming them into structured knowledge representations like ontologies and knowledge graphs.
- StreamFrost Public
StreamFröst is a decentralized framework for the collaborative creation and execution of cross-organizational data stream processing pipelines. It enables multiple organizations to jointly design, share, and run streaming pipelines while preserving each participant's data sovereignty.
- dataspace-demo Public
Supplementary material of the project "Dataspaces for Collaborative Research".
- fair-graphrag Public
Construction of a knowledge graph (KG) from tables that adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. User interface for the FAIR GraphRAG system.
- dataset-finder Public
Implementation of the Dataset Finder, a catalog with dataset description entries pulled from data management plans handled in RDMO.
- reducio Public
Supplementary Materials for the publication "Reducio: Data Aggregation and Stability Detection for Industrial Processes Using In-Network Computing"
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