Dynamic Interactive Graphing for Entity Attributes

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Solution Overview

Problem

Researchers face challenges in processing large and dispersed data sets due to volume, inconsistencies, incomplete data, varying formats, misrepresentations, different interpretations, and lack of relevancy, leading to data noise and overwhelm.

Innovation Solution

The system provides dynamic interactive graphing of entity attributes, where data is received into a structured interface defining attribute relationships, and an interactive graph is generated and presented using a graphical user interface, allowing for dynamic rearrangement based on user selections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If researchers process large and dispersed data sets using traditional methods, then they can analyze the data, but they face overwhelming noise and difficulty in understanding due to volume, inconsistencies, and varying formats

Engineering Contradiction:
Improvedata research efficiencyVSAvoiddata processing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex data processing task into distinct functional modules: data ingestion module, data normalization module, relationship extraction module, and visualization module. Each module handles a specific aspect of data processing, transforming the overwhelming monolithic task into manageable segments that can be processed independently and systematically

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing layer that sits between raw data sources and the research user. This intermediary layer includes data normalization components that convert varying formats into standardized structures, and relationship extraction components that identify patterns, thereby mediating the complexity between diverse data sources and the user's understanding needs

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If traditional data analysis methods are used, then all available data can be processed, but relevant information is lost in the noise and researchers cannot easily determine what data is relevant

Engineering Contradiction:
Improveinformation relevanceVSAvoiddata discovery speed
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent applies local quality by enhancing specific portions of the data that are most relevant to the research question. The visualization system dynamically adjusts the prominence, detail, and presentation of data elements based on their relevance to the selected attributes and relationships, allowing researchers to focus on locally important information without being overwhelmed by the global data set

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements dynamic adaptability where the data visualization and processing focus can be dynamically adjusted based on user selections and interactions. As users select different attributes or explore different relationships, the system dynamically reconfigures which data elements are highlighted, filtered, or expanded, enabling the research process to adapt to evolving questions and hypotheses

Inventive Principle:
Principle #15Dynamics

3Reliability

If data is presented in varying formats from different sources, then comprehensive data coverage is achieved, but inconsistencies and misrepresentations make the data difficult to understand and verify

Engineering Contradiction:
Improvedata trustworthinessVSAvoiddata integration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by transforming data from various sources into a standardized parameter structure. The normalization module converts different formats, units, and representations into consistent parameters that can be reliably compared and analyzed. This parameter standardization maintains the comprehensive coverage of diverse data sources while eliminating inconsistencies through systematic transformation

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12242521B2Dynamic interactive graphing for attributes
Publication Date: 2025.03.04 THIRD BRIDGE US INC
  • US12242521B2 patent drawing
  • US12242521B2 patent drawing
  • US12242521B2 patent drawing

AI summary

Methods and systems are disclosed for dynamic interactive graphing of entity attributes. Data is received into a structured interface, the data defining attributes of an entity, and the structured interface defining relationships between the attributes. An interactive graph is generated of the attributes. The attributes are arranged within the interactive graph according to the relationships. The interactive graph is presented using a graphical user interface. The system receives a selection of at least one specified attribute of the attributes and rearranges the interactive graph dynamically in the graphical user interface based on the selection of the at least one specified attribute of the attributes.