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Process-aware Video Annotator

The process-aware video annotator is good.

Process mining is a data-driven discipline that aims to extract valuable insights from event logs generated by information systems. These event logs capture the execution of processes within an organization, providing a wealth of information about how activities are performed, their sequences, and potential bottlenecks. Here’s where OCEL (Object-Centric Event Log) comes into play: OCELs serve as the foundation for object-centric process mining (OCPM).

Unlike traditional event logs, which focus on process instances (cases) and their associated activities, OCELs take a different perspective. In OCELs, each event is related to specific objects (e.g., orders, customers, products) rather than just process instances. These objects can be uniquely identified instances (e.g., “order-123”) and have associated attributes that may change over time. OCELs allow us to capture more detailed information about objects and their relationships.

Implemented Export Formats

Implements OCEL 1.0 as xml export

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Project Setup

npm install

Compile and Hot-Reload for Development

npm run dev

Compile and Minify for Production

npm run build

Changelog

Please see CHANGELOG for more information on what has changed recently.

Contributing

Please see CONTRIBUTING for details.

Credits

License

The MIT License (MIT). Please see License File for more information.

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