Unstructured Data Compliance Enforcement via HTTP Transactions
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Solution Overview
Problem
Enterprises face challenges in processing unstructured customer data to comply with regulations like GDPR, as existing technologies lack support for transactions over unstructured data, which is scattered across multiple resources and lacks uniform processing protocols.
Innovation Solution
A processor-implemented method and system that identifies purposes and sensitive fields in unstructured data using text analytics, creating a web view with unique URIs for uniform processing, ensuring ACID properties and enabling transactions like READ, UPDATE, and DELETE using HTTP protocol.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If unstructured data is processed using existing technologies, then data processing can be performed, but transaction properties (ACID) cannot be ensured and uniform processing protocol cannot be achieved
Solution Approach 1:
The patent applies a universal processing protocol that can handle multiple types of unstructured data (XML, DOC, ODT, PDF, etc.) through a common interface. The system creates a unified data model that represents different data types consistently, enabling the same transaction processing mechanisms to work across diverse data formats while ensuring ACID properties are maintained throughout.
Solution Approach 2:
The patent introduces an intermediary layer that sits between the diverse unstructured data sources and the transaction processing system. This intermediary converts various data formats into a unified representation and manages the translation between different program interfaces and the common protocol, thereby enabling reliable transactions without requiring changes to the underlying data sources.
2Loss of information
If unstructured data from multiple resources is accessed, then comprehensive data can be retrieved, but data consistency and concurrency control cannot be maintained
Solution Approach 1:
The patent merges access to multiple scattered data resources through a unified interface that presents them as a single coherent data model. By combining the access paths to different resources and managing them through a common protocol, the system retrieves comprehensive data from all sources while maintaining consistency and concurrency control through standardized transaction mechanisms.
3Ease of manufacture
If different program interfaces are used for different content types, then specific data formats can be processed, but uniform processing cannot be achieved
Solution Approach 1:
The patent creates a universal processing interface that can handle multiple content types (XML, DOC, ODT, PDF, etc.) through a single standardized protocol. This unified interface reduces the complexity of dealing with multiple different program interfaces while maintaining the capability to process diverse data formats by translating them into a common representation.
Data Source
AI summary
Method and system for analyzing unstructured data for compliance enforcement is disclosed. The system provides a comprehensive compliance enforcement platform, which enables purpose based data processing in an enterprise to support automatic discovery of purposes and linking between data fields and purposes. The system creates a single view of data associated with the data subject for enforcing the data subject's right for data protection and privacy. The system supports database like transactions for unstructured data over web and ensures Atomicity, Consistency, Isolation and Durability (ACID) properties of these transactions. Thus, the system creates a uniform data layer or a web view for data residing in the unstructured and semi-structured data, spread across the enterprise. The transactions on the unstructured data include READ operation, UPDATE operation, and DELETE operation using hypertext transfer protocol (http) over the unstructured data.