Automated XBRL Taxonomy Concept Replacement System
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Solution Overview
Problem
Migrating XBRL documents from one taxonomy to another is a laborious and error-prone process due to the complexities involved, leading to many documents remaining based on deprecated taxonomies rather than being updated to the latest versions.
Innovation Solution
An automated XBRL extension taxonomy concept replacement system that identifies and replaces superfluous XBRL extension taxonomy concepts with corresponding base taxonomy concepts, using a computer processor and memory to analyze and update XBRL documents, facilitating minimal external support and no manual editing of source files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual taxonomy migration is performed, then data accuracy can be maintained through human review, but the process becomes laborious and time-consuming
Solution Approach 1:
The system performs automated taxonomy concept replacement by analyzing XBRL documents and identifying superfluous extension taxonomy concepts independently, without requiring manual intervention for each replacement decision. The processor automatically compares extension concepts with base taxonomy concepts and executes replacements based on predefined criteria.
Solution Approach 2:
The patent replaces the manual mechanical process of taxonomy migration with an automated computational system. The processor-based system uses algorithmic analysis to identify and replace taxonomy concepts, substituting human manual operations with automated electronic processing.
2Reliability
If manual taxonomy migration is performed, then complex decisions can be made with human judgment, but the process becomes error-prone and expensive
Solution Approach 1:
The system autonomously performs taxonomy migration tasks including identifying superfluous concepts, comparing them with base taxonomy concepts, and executing replacements without human intervention, thereby eliminating human errors while reducing costs.
Solution Approach 2:
The system incorporates validation mechanisms that verify replacement accuracy by checking whether extension taxonomy concepts are indeed superfluous before executing replacements, providing feedback loops that ensure migration reliability.
3Adaptability or versatility
If extension taxonomy concepts are retained, then custom reporting needs are met, but data redundancy increases and compliance decreases
Solution Approach 1:
The system extracts and removes superfluous extension taxonomy concepts from XBRL documents by identifying concepts that duplicate base taxonomy concepts and automatically replacing them, thereby eliminating data redundancy while preserving necessary custom reporting capabilities.
Solution Approach 2:
The system selectively replaces only those extension taxonomy concepts that are superfluous, rather than removing all extension concepts. This partial action approach maintains necessary custom reporting flexibility while eliminating redundant data.
Data Source
AI summary
An XBRL extension taxonomy concept replacement system includes: a computer processor having a memory on which a program executable by the processor is stored for performing a method of XBRL extension taxonomy concept replacement; an XBRL taxonomy module including an XBRL extension taxonomy having XBRL extension taxonomy concepts and an XBRL base taxonomy having related XBRL base taxonomy concepts; and an automated superfluous XBRL extension taxonomy concept detection module that analyzes an XBRL document having XBRL tags and identifies an XBRL extension taxonomy concept of an XBRL extension taxonomy that is superfluous in comparison with an XBRL base taxonomy concept of an XBRL base taxonomy upon which the XBRL extension taxonomy is based.