Dynamic Process Annotation Structuring for Enterprise Knowledge Bases
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to dynamically structure and adapt community knowledge to reflect changes in processes and resources across various environments within an enterprise, limiting their effectiveness in supporting process-related decisions.
Innovation Solution
The method involves generating base templates for processes, instantiating them in specific environments, and annotating these instances with multi-dimensional tags to reflect user observations, allowing for flexible customization and continuous improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If community knowledge is structured to reflect changes in processes and resources across various environments, then the system's adaptability and effectiveness in supporting process-related decisions is improved, but the complexity of managing and organizing this dynamic knowledge increases
Solution Approach 1:
The patent segments community knowledge into process-specific annotations organized by base templates and instances. Each process model is divided into annotatable elements that can be independently tagged and structured, allowing knowledge to be organized in manageable segments rather than as undifferentiated content.
Solution Approach 2:
The system implements dynamic structuring where annotations are continuously updated based on observed process changes. The knowledge base adapts to evolving processes and resources through automated annotation updates, allowing the system to remain flexible and responsive without requiring complete restructuring.
2Productivity
If base templates are generated and instantiated across multiple environments with continuous annotation, then the productivity and continuous improvement of the knowledge base is enhanced, but the time and resources required for annotation and maintenance increase
Solution Approach 1:
The system enables self-service annotation by automatically generating annotations from observed process changes and user interactions. The knowledge base enriches itself through automated tracking of process variations and resource changes, reducing the need for manual annotation efforts while maintaining continuous improvement.
Solution Approach 2:
The system implements feedback loops where annotations are continuously updated based on observed process performance and user interactions. This feedback mechanism automatically refines and updates the knowledge base, enabling continuous enrichment without proportional increases in manual annotation time.
3Adaptability or versatility
If unlimited tags are allowed to be associated with annotations for flexible customization, then the versatility and user profile matching capability is improved, but the complexity of tag management and annotation organization increases
Solution Approach 1:
The patent implements a universal tagging system where a single annotation framework supports multiple tag types and purposes. The base template structure provides a universal organization scheme that accommodates diverse tags and annotation types without requiring separate management systems for each tag category.
Data Source
AI summary
A plurality of base templates is generated. Each of the base templates models a corresponding process. A plurality of instances of each of the base templates is instantiated. Each of the plurality of instances corresponds to an application of the corresponding process to a particular environment. Each of the instances of each of the base templates is annotated, based, in each case, upon observation of functioning of the instance in the particular environment.