Automated System Element Identification via Semantic Analysis
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Solution Overview
Problem
Existing problem analysis tools require users to possess domain knowledge to identify system components and their interactions, making it difficult to model complex systems without adequate knowledge, and relying on personal expertise for system functional modeling and systems thinking.
Innovation Solution
A method and system that provide machine-readable representations of system models, automatically formulate queries to search knowledge bases for system elements, and classify elements as whole-part, entity-relation-entity, or relation elements, using semantic indexing and search tools to access mereological and functional relationship databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If problem analysis tools require users to manually identify system components and their interactions, then users can perform system modeling, but users must possess significant domain knowledge which limits accessibility
Solution Approach 1:
The system automatically extracts system elements from problem statements and performs semantic analysis without requiring users to manually identify components. The automated element identification and relationship extraction mechanisms enable the system to serve itself by generating system models directly from problem descriptions, eliminating the need for users to possess extensive domain knowledge for component identification.
Solution Approach 2:
The patent replaces manual cognitive processes (mechanical identification and classification of system elements) with automated semantic analysis algorithms. The system uses natural language processing and semantic indexing to automatically extract and classify system elements, substituting human expert analysis with computational methods that do not require domain knowledge.
2Productivity
If users rely on personal expertise for system functional modeling, then modeling accuracy may be high for experts, but productivity is reduced due to the time required for manual analysis
Solution Approach 1:
The system performs preliminary semantic analysis and element extraction automatically before the user needs to create system models. By pre-processing problem statements to identify and classify system elements, the system prepares the groundwork for modeling in advance, significantly reducing the time required for actual system modeling while maintaining accuracy through automated classification algorithms.
Solution Approach 2:
The system provides automated feedback by suggesting system elements and relationships based on semantic analysis of problem statements. This feedback mechanism allows users to quickly review and refine automatically generated element lists, combining automated efficiency with human oversight to maintain high accuracy while improving productivity.
3Adaptability or versatility
If the system automatically extracts and classifies system elements from problem statements, then dependency on personal domain knowledge is reduced, but the complexity of automated semantic analysis increases
Solution Approach 1:
The patent implements a universal semantic analysis system that handles multiple types of system elements (components, functions, interactions) through a single automated framework. The system uses general-purpose natural language processing and semantic indexing techniques that can adapt to different domains without requiring domain-specific customization, making the complex analysis capability accessible to users in various fields without requiring them to understand the underlying complexity.
Data Source
AI summary
A problem analysis system and method, given at least one entity represented in an entity-relation-entity relationship, automatically formulates a query that is automatically submitted via a knowledge search tool to a database of mereological and functional relationships, and responses to this query from the database are automatically provided. The query can be formatted as a natural language query, a Boolean query, a key word query, or a query according to the query syntax of a database management system.