Skip to main content

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

Authors

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dragoman_tool-1.0.dev1636562904.tar.gz (20.4 kB view details)

Uploaded Source

Built Distribution

dragoman_tool-1.0.dev1636562904-py3-none-any.whl (26.1 kB view details)

Uploaded Python 3

File details

Details for the file dragoman_tool-1.0.dev1636562904.tar.gz.

File metadata

  • Download URL: dragoman_tool-1.0.dev1636562904.tar.gz
  • Upload date:
  • Size: 20.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for dragoman_tool-1.0.dev1636562904.tar.gz
Algorithm Hash digest
SHA256 932e5a885f69f5271f43b5ca8a2ceee4c5547815e621782fa74d29117e9083c5
MD5 e52c73a8353870d411ada07848fa12a9
BLAKE2b-256 3d7fdc4f60fd1fea4ebc91132abf56f314c100a6afa629a8d376e1fa5eb38ea0

See more details on using hashes here.

File details

Details for the file dragoman_tool-1.0.dev1636562904-py3-none-any.whl.

File metadata

  • Download URL: dragoman_tool-1.0.dev1636562904-py3-none-any.whl
  • Upload date:
  • Size: 26.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for dragoman_tool-1.0.dev1636562904-py3-none-any.whl
Algorithm Hash digest
SHA256 c0a72514e940cabdc0fc8d0fc68fd00913e90a4c6fd3e369235037ddad54af69
MD5 0140cec3f0e5a525c370507112b01132
BLAKE2b-256 ceebfda68e4461f3db45ce0c737c82fcbd57a12e0ead85dd5478f4d60cb291af

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page