Metaverse Knowledge Graph Ontology Modeling

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Solution Overview

Problem

Existing approaches to constructing and utilizing ontological models are limited in adapting to new or changing domain knowledge and scaling effectively, and they do not fully leverage advances in machine learning, data mining, and immersive technologies to enhance knowledge representation and user experience.

Innovation Solution

A real-time ontological actional model using a 3D word gesture algorithm performs lexical and semantic refinements to build a structured, knowledge-based immersive graphical system, employing cognitive reasoning to determine participating and non-participating elements, and leveraging machine learning for knowledge representation and domain expertise improvement across teams.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis of document version changes is used, then reviewers can identify updates, but reviewers are prone to miss key updates and the process is time-consuming

Engineering Contradiction:

Improvedetection accuracy of document updatesVSAvoidtime for manual document review

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical review processes with automated computer-based systems that use natural language processing and machine learning algorithms to analyze document changes, thereby eliminating human error and time constraints associated with manual review

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically generating summaries, identifying key changes, and presenting relevant information without requiring manual intervention, allowing users to obtain insights directly from the automated analysis engine

Inventive Principle:

Principle #25Self-service

2Loss of information

If traditional document review methods are used, then reviewers can access documents, but complete knowledge of business changes and their impact is difficult to achieve

Engineering Contradiction:

Improvecompleteness of business change knowledgeVSAvoidcomplexity of information processing system

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent creates a universal system that performs multiple functions including document analysis, change detection, impact assessment, and summary generation within a single platform, enabling comprehensive knowledge acquisition without requiring multiple separate tools

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary intelligent agent that processes and synthesizes information between the raw documents and the user, translating complex business changes into understandable summaries and impact assessments

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If ontological models are updated with new domain knowledge, then knowledge representation improves, but adapting to changing domain knowledge and scaling becomes limited

Engineering Contradiction:

Improveadaptability to new domain knowledgeVSAvoidcomplexity of ontological model maintenance

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic ontological models that can automatically adapt to new domain knowledge through continuous learning and updating mechanisms, allowing the system to evolve with changing business domains without manual reconfiguration

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where usage patterns and new domain knowledge are continuously fed back into the ontological model, enabling automatic refinement and adaptation of the knowledge representation structure

Inventive Principle:

Principle #23Feedback

4Ease of operation

If 3D immersive visualization is implemented, then user experience and collaboration improve, but system complexity and computational requirements increase

Engineering Contradiction:

Improveuser experience in document reviewVSAvoidcomplexity of 3D visualization system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent creates simplified 3D representations and virtual copies of documents and change elements that can be manipulated in immersive environments, allowing complex information to be visualized in simplified spatial forms that ease user interaction

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12007963B1System and method for processing resources and associated metadata in the metaverse using knowledge graphs

Publication Date: 2024.06.11 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for processing resources and associated metadata in the metaverse using knowledge graphs. The invention relates to a method for processing and converting documents from a digital data source, involving the following steps: receiving one or more documents from the data source; storing the documents in a network attached storage using a file transfer protocol; converting the documents into an extensible markup language (XML) format; storing the converted documents in an API-accessible document database; generating a downstream process API for accessing the document database; creating an abstract document delineation for the converted documents based on data extracted via the downstream process API; and finally, transforming the abstract document delineation and associated metadata into a semantic, immersive, actionable ontological modeling language, facilitating enhanced document representation and interaction.