Interlinked Construct Nodes for Knowledge Representation
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Solution Overview
Problem
Existing knowledge representation systems are limited by requiring prerequisite subject matter knowledge, focusing on textual information, and failing to convey knowledge across all forms and scopes, making them narrow in purpose and scope, and unable to represent knowledge in a comprehensive and non-textual manner.
Innovation Solution
A knowledge representation system using interlinked construct nodes that include unique identifiers, data fields, and paired link categories superimposed on geometric shapes, allowing for the representation of various forms of knowledge such as words, images, sounds, and concepts in a uniform and consistent manner, forming an interlinked graph.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text-based knowledge representation systems are used, then the system can represent knowledge using words and phrases, but the user must already understand the vocabulary and concepts being used
Solution Approach 1:
The patent introduces an intermediary layer between the knowledge base and the user. This intermediary provides automatic definition lookup, context explanation, and concept clarification mechanisms that translate specialized vocabulary into understandable explanations, allowing users without prerequisite knowledge to access and understand the knowledge representation system
Solution Approach 2:
The knowledge representation is segmented into modular components where each concept, term, and relationship can be independently defined and explained. This segmentation allows the system to provide targeted explanations for specific unfamiliar terms rather than requiring users to understand entire vocabularies, making the system accessible to users with varying levels of domain knowledge
2Ease of manufacture
If knowledge representation systems focus on higher level details, then the system becomes easier to implement and understand, but lower levels of detail are not conveyed
Solution Approach 1:
The system implements dynamic detail adjustment where the level of detail displayed adapts based on user interaction and context. Users can dynamically navigate between high-level overviews and detailed constituent parts, allowing the system to maintain ease of implementation for the core structure while providing access to complete detail levels when needed
Solution Approach 2:
The knowledge representation uses a nested structure where high-level concepts contain nested lower-level details. This allows the system to present simplified high-level views by default while enabling users to drill down into nested layers of detail, maintaining implementation simplicity while preserving complete information availability
3Adaptability or versatility
If knowledge representation systems are designed for specific forms and scopes of knowledge, then the system can be more focused and specialized, but it cannot represent knowledge across all forms and scopes
Solution Approach 1:
The patent designs a universal knowledge representation framework that can handle multiple forms and scopes of knowledge through a unified node-edge structure. The system uses standardized node types and relationship categories that can represent various knowledge domains (scientific, technical, general knowledge) without requiring domain-specific system redesign, achieving broad adaptability while maintaining manageable complexity through standardization
Data Source
AI summary
An improved knowledge representation uses interlinked construct nodes to represent knowledge in a uniform and consistent manner across all forms and scopes of knowledge. The node consists of a unique identifier, plurality of data fields, and plurality of paired node linking categories. In its graphical embodiment, the data fields and link categories are superimposed onto a geometric shape. The position of the link categories around the perimeter of the shape identifies the category and relationship to other nodes. Lines between link categories link nodes. Nodes form an interlinked construct node graph. Data fields contain text, images, sounds, symbols, numbers, equations, formulas, digital 3D models and documents. Embodiments of application software are used to create, edit, view, interpret and apply the knowledge contained within a graph.