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An Optimized, RML-engine-agnostic Interpreter for Functional Mappings. It planns the optimized execution of FnO functions integrated in RML mapping rules, interprets and transforms the rules into function-free ones efficiently. Since Dragoman is engine-agnostic it can be adopted by any RML-compliant Knowledge Graph creation framework.

Project description

Dragoman

An Optimized, RML-engine-agnostic Interpreter for Functional Mappings. It planns the optimized execution of FnO functions integrated in RML mapping rules, interprets and transforms the rules into function-free ones efficiently. Since Dragoman is engine-agnostic it can be adopted by any RML-compliant Knowledge Graph creation framework.

You can use Dragoman with your own library of functions! Here is how:

  1. Make a copy of functions.py that is located in ./Interpreter/ and rename it (we consider it as new_function_script.py)
  2. Edit new_function_script.py by adding your functions definitions following the sctructure provided in the script and save the chnages
  3. Go to the connection.py and replace ".functions" with ".new_function_script" at line 6 and save the changes

That's it! You are ready to go :)

Version

1.0

License

This work is licensed under Apache 2.0

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