Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study

Understand

Automatic process discovery from textual process documentations is highly desirable to reduce time and cost of Business Process Management (BPM) implementation in organizations.

• However, existing automatic process discovery approaches mainly focus on identifying activities out of the documentations.
• Deriving the structural relationships between activities, which is important in the whole process discovery scope, is still a challenge.
• In fact, a business process has latent semantic hierarchical structure which defines different levels of detail to reflect the complex business logic.