Implement the generation of a Zone with a lot of faked data that can be used to evaluate (i.e. benchmark) different aspects of our protocol. This includes the blockchain smart contract, triple store, and SPARQL querying, to name a few.
The Data Space should include various datasets and services, each containing a large amount of faked metadata. The generated data should be randomized to ensure that it represents a realistic sample of what could be encountered in a real-world scenario, as much possible.
The generated data should be presented in turtle format since it is the standard format for all our examples.
Todo
[ ] Develop a script that generates the Zone with a significant number of datasets and services. The number of datasets and services should be configurable. Choose any programming language that you think is suitable for the task (e.g. Python...)
[ ] Add a new target to the Makefile that invokes the script.
[ ] Evaluate the quality of the generated data to ensure that it represents a realistic sample.
[ ] Validate the compliance of the generated data with the ontology protocol.
ccamel
commented
1 year ago
Idea
Implement the generation of a Zone with a lot of faked data that can be used to evaluate (i.e. benchmark) different aspects of our protocol. This includes the blockchain smart contract, triple store, and SPARQL querying, to name a few.
The Data Space should include various datasets and services, each containing a large amount of faked metadata. The generated data should be randomized to ensure that it represents a realistic sample of what could be encountered in a real-world scenario, as much possible.
The generated data should be presented in turtle format since it is the standard format for all our examples.
Todo
targetto theMakefilethat invokes the script.