PoC exploring the feasibility of an automated BBO to OSLO-Steps mapping

Investigating the feasibility generating OSLO steps starting from BPMN.

The goal is not to provide a fully working solution, rather understand

• how far this could be automated
• what has to be taken into account when creating BPMNs in order to have a working BPMN -> OSLO steps solution.
• what extra information is needed next to BPMN and mappings to create OSLO-Steps.

A bit more context on BPMN and BBO can be found in the bpmn_bbo_mapping repo.

bpmn_bbo_mapping maps BPMN (xml) to linked expressed using the BBO and BBO-ext ontologies.

This repo maps the data (partially) to OSLO steps.

The mapping rules and queries are written in Notation3 and can be executed using the (EYE Reasoner)[https://github.com/eyereasoner/eye].

In a nutshell:

• Flow elements are States in OSLO Steps
  • Naming Step: concatenation of upstream activity/gateway name + flow annotation.
• Activities are Steps in OSLO Steps
• State shapes are out of scope of the mapping

The easiest way is using the playground/playground.ipynb Jupyter Notebook.

Below are instructions to execute the steps using eye directly with input.nq being the bpmn data generated by bpmn_bbo_mapping

eye --nope --quiet --pass input.nq https://www.irit.fr/recherches/MELODI/ontologies/BBO/ontology.ttl bbo-to-oslo-steps.n3 > oslo-steps.ttl

docker run --net=host --rm -v $HOME:$HOME -w $(pwd) -ti eyereasoner/eye --nope --quiet --pass input.nq https://www.irit.fr/recherches/MELODI/ontologies/BBO/ontology.ttl bbo-to-oslo-steps.n3 > oslo-steps.ttl