Metadata Tagging for Searchable and Reconcilable Posted Entries
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Solution Overview
Problem
Existing systems for converting user-input information into posted entries are constrained by rigid structures that limit the inclusion and derivation of information, leading to errors and difficulties in reconciliation due to the inability to map converted data to ground truth sources.
Innovation Solution
A data management system that applies flexible rules for generating and manipulating posted entries using metadata tags, enabling classification, search functionality, and reconciliation based on metadata tags, and employs a machine learning model to identify discrepancies and perform remediation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rigid structures are imposed on data conversion systems to ensure regulatory compliance, then reliability is improved, but adaptability deteriorates
Solution Approach 1:
The patent segments the data structure into two distinct layers: a rigid regulatory-compliant core structure and a flexible metadata tagging layer. The core structure maintains required fields for regulatory compliance, while the metadata layer allows unlimited flexible tagging for search and manipulation purposes. This segmentation resolves the contradiction by allowing both rigid compliance and flexible adaptability to coexist in different parts of the system.
Solution Approach 2:
The patent adds a metadata dimension to the traditional data structure. Instead of trying to make the core structure flexible, it creates a parallel metadata layer that operates in another dimension. This metadata layer contains tags that provide searchability and manipulation flexibility without compromising the integrity of the regulatory-compliant core structure.
2Ease of operation
If rigid conversion logic is used to simplify system operation, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the system automatically generates metadata tags based on the converted data, and these tags can be used to verify and reconcile the conversion accuracy. The feedback loop allows the system to detect and correct errors in the conversion process while maintaining simple operation through automated tagging and reconciliation features.
Solution Approach 2:
The system performs self-service through automated metadata generation and tagging during the conversion process. Rather than requiring manual intervention to ensure accuracy, the system automatically creates descriptive tags and metadata that enable self-verification and reconciliation, improving both ease of operation and data precision simultaneously.
3Adaptability or versatility
If manual selection of conversion logic is required to handle complex cases, then adaptability is improved, but productivity deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining a comprehensive set of metadata tags and classification categories that can handle diverse conversion scenarios. Instead of requiring manual selection during conversion, the system has already prepared the necessary structural frameworks and tag sets in advance, enabling automatic adaptation to different cases without manual intervention, thus maintaining both flexibility and productivity.
Data Source
AI summary
A system and a method are disclosed for receiving, from a source of a plurality of candidate sources, a payload comprising content and metadata. The system selects a destination to which to route the payload based on the source and the content, and generates an entry at the destination based on the content. The system inputs the metadata into a classification engine, and receives, as output from the classification engine, one or more classifications for the payload. The system applies a metadata tag to the entry, the metadata tag indicating the one or more classifications. The system receives a search request from a client device specifying at least one of the one or more classifications, and, in response to receiving the search request, provides the entry to the client device based on a matching classification.