Script Conversion to Natural Language for Identity Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Identity management systems face inefficiencies due to scripts encoded in markup languages that are difficult for humans to understand, leading to challenging script generation and maintenance.
Innovation Solution
An apparatus and method to automatically convert scripts with rule elements from a markup format to a natural language format, allowing human users to comprehend and maintain data transformations more easily.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If scripts are encoded in markup languages for automated processing, then automation capability is improved, but human comprehensibility deteriorates
Solution Approach 1:
The patent creates a natural language copy or representation of the markup script. The system generates human-readable text that mirrors the meaning and logic of the automated markup script, allowing humans to understand and verify automated processes without requiring them to read the original markup language code.
2Productivity
If markup language scripts are used for data transformations, then processing efficiency is improved, but script maintenance difficulty increases
Solution Approach 1:
The natural language representation serves as an intermediary between the markup script and human maintainers. This intermediate layer translates complex markup syntax into understandable prose, enabling non-experts to comprehend script logic and facilitating easier maintenance and debugging of automated data transformation processes.
3Adaptability or versatility
If complex markup formats are used for script encoding, then functional capability is improved, but understanding difficulty increases
Solution Approach 1:
The patent segments the complex markup script into discrete, meaningful natural language statements. By breaking down the automated script into individual logical steps expressed in plain language, the system makes each functional component understandable while preserving the overall versatility and capability of the original markup format.
Data Source
AI summary
An apparatus may include a processor that may be caused to access a script in a first format, the script comprising a rule element having a condition element that specifies conditional logic and an action element that specifies an action to be taken based on the conditional logic, build a condition object for the condition element, generate, based on the condition object, a condition sentence portion that represents the conditional logic in a natural language format, build an action object for the action element, generate, based on the action object, an action sentence portion that represents the action to be taken in the natural language format, and generate, in the natural language format, a natural language sentence for the rule element based on the condition sentence portion and the action sentence portion.


