User-Aligned Business Process Fragment Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing business process modeling algorithms fail to provide semantically coherent, user-aligned fragments, often relying solely on 'single entry, single exit' criteria and neglecting other metadata, which results in inconsistent and incompatible process models across different user roles and organizational hierarchies.
Innovation Solution
The implementation of a computer program that computes a hierarchy of process fragments based on user roles, using weighted averages of metadata categories such as conversations, service consumption, event receipts, lane assignments, and process logs to select and present relevant blocks aligned with user interests, leveraging automatic detection algorithms and statistical data from previous views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing business process modeling algorithms rely solely on 'single entry, single exit' criteria, then the process models are simpler to generate, but the process models become inconsistent and incompatible across different user roles and organizational hierarchies
Solution Approach 1:
The patent segments the business process model into multiple metadata categories (conversations, service consumption, event receipts, user roles, lane assignments, process logs, data flows) rather than relying on a single criterion. This segmentation allows different aspects of the process model to be independently analyzed and weighted according to user needs, resolving the contradiction between simplicity and consistency.
Solution Approach 2:
The patent introduces a scoring mechanism that dynamically weights different metadata categories based on user roles and organizational hierarchies. By changing the parameters (weights) assigned to different metadata categories, the system can generate consistent and compatible process models tailored to specific user contexts while maintaining algorithmic simplicity.
2Loss of information
If process models present all details to all users, then completeness of information is improved, but user interest and relevance decrease due to information overload
Solution Approach 1:
The patent applies local quality by tailoring the presentation of process model fragments to specific user roles and organizational hierarchies. Different users receive different weighted combinations of metadata categories based on their local context and needs, ensuring that each user sees information that is both complete for their role and relevant to their interests.
Solution Approach 2:
The patent uses partial action by selectively presenting only the most relevant process model fragments to each user based on computed scores. Rather than presenting all information equally, the system applies partial weighting to metadata categories, showing users a curated subset of information that maintains completeness for their role while avoiding information overload.
3Adaptability or versatility
If process fragments are customized for specific user roles, then user alignment and relevance are improved, but the complexity of the system increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically compute scores and select process model fragments based on user roles and metadata categories without requiring manual configuration for each user. The automated scoring mechanism adapts to different user contexts while maintaining system simplicity, resolving the contradiction between adaptability and complexity.
4Adaptability or versatility
If manual customization of process models for each user role is performed, then user alignment is improved, but time consumption and productivity decrease
Solution Approach 1:
The patent applies preliminary action by pre-defining metadata categories and their associated weights for different user roles. The system performs preliminary scoring and selection of process model fragments automatically, eliminating the need for manual customization for each user while maintaining high user alignment. This preliminary structuring enables rapid generation of role-specific process models.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for providing automatic identification of semantically coherent, user-aligned fragments in business process models. One process includes operations for identifying a hierarchy of process fragments in a business process model associated with a user. At least one process metadata category associated with a role of the user is determined. A score for each process fragment in the hierarchy of process fragments is computed, the score computed based at least in part on a probable level of interest in the at least one process metadata category for the role of the user. At least one process fragment in the hierarchy of process fragments for inclusion in a view of the business process model to be presented to the user, the selection based at least in part on the score computed for the at least one process fragment.