Semantic Metaset Composition for Computing Device Data Management

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Solution Overview

Problem

Existing technologies face challenges in efficiently representing and managing semantic definitions on computing devices, particularly in handling the large number of semantic attributes and complex relationships between them.

Innovation Solution

The method involves composing semantic definition statements using operators and saving them in a metaset, which is then converted into a digital data structure for storage on a computing device. This method includes various operators for different types of semantic definitions, such as semantic concept, context, marker, and inheritance statements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If semantic definitions are represented using traditional database structures, then semantic relationships can be stored, but the complexity of managing large numbers of semantic attributes and their relationships increases significantly

Engineering Contradiction:

Improvenumber of semantic attributesVSAvoidcomplexity of managing semantic relationships

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent segments semantic definitions into distinct statement types (semantic concept statements, semantic context statements, semantic marker statements, etc.), each with specific operators and operands. This segmentation allows complex semantic relationships to be broken down into manageable, standardized components that can be independently processed and managed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a formal parameter system where semantic definitions are represented as structured statements with subjects, operators, and objects. This parameterization transforms unstructured semantic data into a standardized format with defined attributes, enabling efficient storage, retrieval, and manipulation of large numbers of semantic attributes.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If comprehensive semantic definitions are created to cover all semantic attributes and relationships, then semantic processing capability is improved, but the time and resources required to create, edit, and query the definitions increase

Engineering Contradiction:

Improvesemantic processing capabilityVSAvoidtime to create, edit, and query definitions

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent establishes a pre-defined framework of statement types and operators that structure semantic definitions before actual semantic data is entered. This preliminary structuring enables faster creation and editing by providing templates and constraints that guide the definition process, reducing the time required to comprehensively define semantic relationships.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual, ad-hoc semantic definition management with an automated system that uses structured statements and operators. This mechanical substitution allows for efficient querying and processing of semantic definitions through standardized operations, reducing the time and resources required compared to traditional manual approaches.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If semantic definitions are stored in a structured format for efficient processing, then search and query operations are improved, but the flexibility in representing diverse semantic relationships may be reduced

Engineering Contradiction:

Improvesearch and query efficiencyVSAvoidflexibility in representing semantic relationships

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal statement structure with subjects, operators, and objects that can represent multiple types of semantic relationships through different operator selections. This multi-functional framework allows the same basic structure to handle diverse semantic relationships (concepts, contexts, markers, realms, instances, inheritances) while maintaining structured efficiency for processing and searching.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12235883B2Method and computing device in which semantic definitions are composed as a semantic metaset

Publication Date: 2025.02.25 ZRO INC

AI summary

The present application discloses a method of representing semantic definitions on a computing device. Semantic definition statements are composed using operators. The semantic definition statements include semantic concept statements using semantic concept operators and semantic context statements using semantic context operators. The semantic definition statements are saved in a metaset. The metaset is converted into a digital data structure and stored in a memory storage device of a computing device. The present application further discloses a method of semantically searching for a visual using a metaset.