Ontology Mapping for Cross-Border Data Compliance Visualization

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Solution Overview

Problem

There is a need for improved systems and methods to manage personal data in compliance with privacy and security policies, as frequent breaches and varying jurisdictional requirements pose challenges for organizations and individuals in protecting sensitive information.

Innovation Solution

A method and system that generate a graphical user interface to present personal data management documentation requirements, allowing users to navigate and retrieve relevant datasets through an ontology, and generate reports for regulatory compliance, facilitating compliance with diverse jurisdictional and sectoral regulations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If organizations implement operational policies and processes to comply with legal and industry requirements for personal data management, then privacy and security compliance is improved, but system complexity and operational burden increase

Engineering Contradiction:
Improveprivacy and security complianceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments personal data management requirements by jurisdiction and sector, organizing complex regulatory obligations into discrete, manageable units. Each jurisdiction-specific requirement module can be independently configured and assessed, breaking down the overwhelming complexity of global compliance into structured segments that can be addressed systematically.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal assessment framework that can evaluate compliance across multiple jurisdictions and sectors simultaneously. The system uses a common core assessment structure that adapts to different regulatory environments, allowing organizations to manage diverse compliance requirements through a single multi-functional platform rather than separate systems for each jurisdiction.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If organizations attempt to manage personal data across multiple jurisdictions with different requirements, then compliance coverage is improved, but operational difficulty and time consumption increase

Engineering Contradiction:
Improvecompliance coverageVSAvoidoperational difficulty
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements a dynamic compliance assessment system that automatically adapts to different jurisdictions and sectors. The framework dynamically configures assessment criteria, data elements, and evaluation methods based on the selected jurisdiction and sector, allowing the system to flexibly respond to varying regulatory requirements without requiring manual reconfiguration for each environment.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent introduces an intermediary assessment framework that mediates between diverse jurisdictional requirements and organizational data practices. This intermediary layer translates various regulatory languages and requirements into a unified assessment structure, simplifying the operational burden by providing a consistent interface for managing compliance across multiple jurisdictions.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If detailed personal data management documentation is collected and maintained, then regulatory compliance capability is improved, but data management complexity and storage requirements increase

Engineering Contradiction:
Improveregulatory compliance capabilityVSAvoiddocumentation volume
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts and identifies only the specific personal data elements and documentation actually required for compliance with applicable jurisdictional and sectoral requirements. Rather than collecting and maintaining all possible documentation, the system extracts precisely what is needed based on the organization's operational context, reducing documentation volume while maintaining compliance capability.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the parameters of documentation management by organizing data according to jurisdiction-specific and sector-specific criteria rather than traditional organizational structures. This parameter change allows for more efficient data retrieval and validation, reducing the effective volume of documentation that must be actively managed while maintaining comprehensive compliance coverage.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11336697B2Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
Publication Date: 2022.05.17 ONETRUST LLC
  • US11336697B2 patent drawing
  • US11336697B2 patent drawing
  • US11336697B2 patent drawing

AI summary

The disclosed systems facilitate collection and management of personal data management documentation requirements and associated data. A master questionnaire is used to solicit information regarding documentation requirements for several contexts in a single interaction and responsive data can be mapped to questionnaires and/or datasets for particular contexts, such as jurisdictions and business sectors. The system can generate graphical user interfaces for presenting the documentation requirement data for a particular context by generating an interface with navigational elements for various contexts, detecting browser state data indicating user manipulation of one or more such elements, and generating a subsequent graphical user interface based on the browser context data. The system configures the subsequent interface to present the requested information in display elements and instructs the browser presenting the subsequent interface to retrieve the requested information using an ontology mapping the requested information to a master dataset.