Metadata Relational Network for Cross-Source Data Navigation

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Solution Overview

Problem

Current search technologies rely on indexing full text data, which can lead to incomplete and less useful representations of information, requiring users to actively choose search terms and depend on intelligent search engines for results, and are not effective in providing structured access to data across multiple sources without copying or manipulating the source data.

Innovation Solution

A system that uses metadata extraction and relational network structures to enable contextual access to data across multiple sources without indexing, utilizing a mapper, metadata curator, and relationship creator to form a fixed relational structure, allowing for intuitive navigation and analysis of data without the need for traditional searching.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If search technology creates indexes from full text data to make information searchable, then information accessibility is improved, but data representation completeness deteriorates and storage complexity increases

Engineering Contradiction:

Improveinformation accessibilityVSAvoiddata representation completeness

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent extracts metadata from data sources without extracting or copying the full text data itself. The system retrieves only metadata properties and relationships, leaving the original data intact in its source location, thereby avoiding the information loss inherent in indexing while maintaining searchability.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces metadata as an intermediary layer between the user and the full text data. This metadata layer provides structured access points and relationships without requiring direct manipulation or copying of the underlying data, resolving the contradiction between accessibility and completeness.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If search technology indexes full text data to enable searching, then search capability is improved, but system complexity and resource consumption increase

Engineering Contradiction:

Improvesearch capabilityVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system extracts only metadata from data sources rather than creating indexes of full text. This extraction approach maintains search capability by capturing essential properties and relationships while dramatically reducing the complexity and resources required compared to traditional full-text indexing.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent uses lightweight metadata objects that are inexpensive to create and maintain compared to full-text indexes. These metadata representations serve as temporary, disposable proxies that enable searching without the heavy computational overhead of traditional indexing systems.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Adaptability or versatility

If traditional search requires users to actively choose search terms and strategies, then search flexibility is improved, but user effort and time consumption increase

Engineering Contradiction:

Improvesearch flexibilityVSAvoiduser effort

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary organization of data into structured metadata with defined relationships and hierarchies before user interaction. This pre-structuring enables intuitive navigation and filtering without requiring users to formulate complex search queries, reducing user effort while maintaining flexibility through the structured metadata model.

Inventive Principle:

Principle #10Preliminary action

4Measurement precision

If search technology presents results based on search engine ratings, then result relevance is improved, but result accuracy and user expectation alignment deteriorate

Engineering Contradiction:

Improveresult relevanceVSAvoidresult accuracy

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent replaces the mechanical rating and scoring systems of traditional search engines with a structured metadata-based navigation system. Instead of algorithmic ranking that may not align with user expectations, the system uses explicit metadata relationships and hierarchies to present results in a predictable, accurate manner that directly reflects the structured data organization.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11675793B2System for managing, analyzing, navigating or searching of data information across one or more sources within a computer or a computer network, without copying, moving or manipulating the source or the data information stored in the source

Publication Date: 2023.06.13 INTELLIGENT OPERATIONS AS

AI summary

The inventions and its embodiments (hereafter called “the System”) are intended for use by any user in any situation where the amount of data is too extensive to effectively make sense of it in traditional manners or by use of traditional technology. Source data may be provided by one or many network computers and their inherent applications and/or data repositories. Information is made available to the users in intuitive contexts without moving, copying or manipulating the source data. Raw source data is extracted, analyzed, improved and normalized through a curating process for use by the System. All metadata are connected through a multidimensional, non-linear relational network, the fixed layer, based on a persistent relational network that includes any existing or emerging contextual information in the form of structured metadata.