Knowledge Management System Using Hierarchical Trees
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Solution Overview
Problem
Early expert systems face challenges in accumulating and managing large numbers of decision rules due to inconsistent description styles in ontologies, leading to poor readability and confusion, especially when multiple ontologies are constructed by different individuals, and existing systems struggle to provide both machine-processable and human-readable knowledge management.
Innovation Solution
A knowledge management system that organizes knowledge into hierarchical structures using knowledge trees with attribute descriptions and reference links, allowing for inheritance of attribute descriptions and namespace management to separate and manage knowledge effectively, enabling flexible search and inference while ensuring readability and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If knowledge is described using flexible ontology formats with high degree of freedom in description style, then adaptability and versatility are improved, but device complexity and difficulty of detecting and measuring increase due to inconsistent description styles
Solution Approach 1:
The patent segments knowledge description into standardized templates with defined fields and data types. Each knowledge fragment follows a structured format with explicit schemas, dividing the complex ontology construction into manageable, standardized components that reduce inconsistency while preserving flexibility.
Solution Approach 2:
The patent changes the parameters of knowledge representation by introducing explicit data types, validation rules, and standardized field definitions. This transforms flexible but inconsistent ontology descriptions into parameterized, constrained representations that maintain adaptability while ensuring consistency through defined schemas.
2Productivity
If multiple ontologies are constructed by multiple individuals in parallel, then productivity is improved, but device complexity increases due to confusion from inconsistent description styles
Solution Approach 1:
The patent creates a universal knowledge fragment format that serves multiple functions: it standardizes descriptions for consistency, enables parallel construction by multiple individuals, and provides a common interface for integration. This universal template allows different contributors to work simultaneously without creating confusion.
Solution Approach 2:
The patent enforces homogeneity in knowledge fragment structures through standardized templates, consistent data types, and uniform validation rules. This ensures that all knowledge fragments regardless of source follow the same format, eliminating description style confusion while allowing parallel development.
3Ease of manufacture
If knowledge fragments are described in enumerated format, then ease of manufacture is improved, but loss of information increases as the whole picture of knowledge cannot be looked through
Solution Approach 1:
The patent implements nesting by organizing knowledge fragments in a hierarchical structure where individual fragments contain detailed information and are nested within larger knowledge graphs. This allows easy description of individual fragments while maintaining access to the overall knowledge context through the hierarchical organization.
Solution Approach 2:
The patent adds a dimensional aspect to knowledge representation by introducing hierarchical levels and contextual relationships. Knowledge fragments are not just enumerated in isolation but are positioned in multiple dimensions including hierarchy, relationships, and context, allowing both detailed individual description and holistic understanding.
Data Source
AI summary
By clearly separating knowledge of a specific area into a plurality of knowledge trees and organizing it, it is possible to describe systematic knowledge without fluctuation of notation.Knowledge tree group management means that manages at least one knowledge tree, and knowledge entry management means that manages at least one knowledge entry existing for each of the knowledge trees are provided. Each of the knowledge entries includes a knowledge entry attribute description describing an attribute related to the knowledge entry and a knowledge entry parent-child relationship link describing a parent-child relationship with another knowledge entry of the knowledge tree. The knowledge entry attribute description includes a reference link to a knowledge entry belonging to a different or an identical knowledge tree or to an entry attribute description of the knowledge entry.