BONSAI Cross-Border Testing Framework
A collaborative cross-border testing framework for open data that classifies, identifies, and accesses large datasets to support data portability and interoperability
Product Information
- Description
- The BONSAI Cross-Border Testing Framework enables collaborative testing and analysis of large-scale open datasets across distributed environments. It employs holistic methods to classify, identify, and access data, facilitating seamless data portability and interoperability between systems. Key features include the integration of the Super Stream Collider (SSC) middleware, which uses Linked Data principles to create interoperable data mashups, and novel approaches for distributed data characterization, quantification, and processing. This framework supports multi-domain information sharing and portable data services, making it valuable for organizations needing to test data processing functions across interconnected testbeds, particularly in cross-border scenarios where data consistency and accessibility are critical.
- Categories
- Network Infrastructure Data & Machine Learning
Linked NGI Projects
This product was created or improved through NGI-funded projects
Often Used Together
Products commonly used alongside BONSAI Cross-Border Testing Framework
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