Knowledge Management with Linked Entries for Consistent Ontology Building
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Solution Overview
Problem
Existing knowledge management systems face challenges in efficiently managing and searching for knowledge due to fluctuations in description styles, poor readability, and difficulty in maintaining consistency across multiple ontologies, leading to confusion and reduced usability.
Innovation Solution
A knowledge management system that includes knowledge entry management, attribute description management, reference term-using document creation, tree-structure-of-knowledge group management, and user authority management to systematically organize and classify knowledge entries into hierarchical structures, allowing for flexible search and inference while maintaining readability and preventing description fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If knowledge is described using flexible formats like RDF with high degree of freedom, then adaptability and versatility are improved, but description style consistency deteriorates and confusion occurs
Solution Approach 1:
The patent changes the parameter of description format from completely flexible RDF to a controlled format with predefined templates and schemas. This restricts the degree of freedom to specific parameters while maintaining adaptability within those constraints, thus improving consistency without completely sacrificing versatility
Solution Approach 2:
The patent segments knowledge description into structured components (knowledge areas, knowledge items, attribute descriptions, parent-child relationships) that can be independently managed and described using consistent formats. This segmentation allows each component to maintain consistency while the overall system remains adaptable
2Productivity
If multiple persons construct ontologies in parallel with high description freedom, then productivity is improved, but reliability deteriorates due to mismatch and confusion
Solution Approach 1:
The patent establishes description templates, schemas, and standards before multiple persons begin ontology construction. This preliminary structuring ensures that all contributors follow the same format from the start, maintaining reliability while allowing parallel construction to proceed efficiently
Solution Approach 2:
The patent creates a universal description framework that can accommodate multiple ontology construction efforts simultaneously. The standardized templates and schemas serve as a common language that enables parallel work while ensuring consistency across all constructed ontologies
3Manufacturing precision
If detailed knowledge descriptions are provided to ensure completeness, then manufacturing precision is improved, but readability deteriorates and overview becomes difficult
Solution Approach 1:
The patent segments detailed knowledge descriptions into hierarchical levels (knowledge areas, knowledge items, attribute descriptions). This segmentation allows detailed information to be organized systematically, maintaining precision while enabling readers to access information at appropriate levels of detail without being overwhelmed by the complete set of details at once
Solution Approach 2:
The patent adds a hierarchical dimension to knowledge description, organizing detailed information in a multi-level structure. This allows the same knowledge base to provide both detailed views (for precision) and overview views (for readability) by navigating different hierarchical levels
4Manufacturing precision
If knowledge is organized in hierarchical tree structures, then manufacturing precision is improved through systematic classification, but device complexity increases
Solution Approach 1:
The patent segments the knowledge organization system into standardized hierarchical levels (knowledge areas, knowledge items, attribute descriptions, parent-child relationships). This segmentation creates a systematic structure that improves precision while managing complexity through clear separation of organizational levels
Data Source
AI summary
A knowledge management system includes a knowledge entry management configured to manage at least one knowledge entry in recording or managing knowledge, a knowledge entry attribute description management configured to record and manage an attribute description about the at least one knowledge entry. A term used in the attribute description is another knowledge entry or an attribute description of the other knowledge entry and a reference link to the other knowledge entry or the attribute description of the other knowledge entry is available, and a reference term-using document creation configured to create a document in which the knowledge entry is used as a term and that holds a reference link to the knowledge entry.


