Natural Language Interface Engine for Software Customization
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Solution Overview
Problem
Developing effective customization interfaces for enterprise software systems is challenging due to the complexity and steep learning curve of existing tools, such as user interfaces and scripting languages, which require extensive development, troubleshooting, and support.
Innovation Solution
A natural language interface engine that allows users to input commands in natural language, which are then parsed and executed by the software system, utilizing a pool of parsing mechanics to identify functions and extract parameters, enabling users to customize the system through intuitive and dynamic interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional user interface or scripting language tools are used for customization, then the software system can be customized, but the complexity and learning curve increase significantly
Solution Approach 1:
The patent replaces complex mechanical interaction mechanisms (graphical user interfaces, scripting languages, command-line interfaces) with a natural language processing mechanism. Users interact with the system through natural language sentences that are parsed and executed automatically, eliminating the need to learn complex tool interfaces while maintaining full customization capability.
Solution Approach 2:
The patent introduces a natural language interface engine as an intermediary layer between the user and the software system. This intermediary translates natural language commands into executable function calls, shielding users from the underlying system complexity while enabling full access to customization capabilities.
2Productivity
If traditional customization tools are used, then customization functionality is available, but the time required for development and troubleshooting increases
Solution Approach 1:
The patent implements preliminary action by pre-defining parsing mechanics that map natural language patterns to system functions before user interaction. The system prepares function catalogs, parsing rules, and execution frameworks in advance, enabling users to immediately execute customization tasks without time-consuming setup or troubleshooting.
Solution Approach 2:
The patent substitutes manual troubleshooting mechanisms with automated natural language parsing and execution. The system automatically interprets user intentions, identifies appropriate functions, and executes them without requiring users to debug complex interfaces or syntax, dramatically reducing development and troubleshooting time.
3Ease of operation
If natural language interface is implemented, then ease of operation improves, but the system complexity increases
Solution Approach 1:
The patent introduces a natural language interface engine as an intermediary component that handles all the complexity of natural language processing, parsing, and function mapping. This intermediary encapsulates the system architecture complexity while presenting a simple natural language interface to users, allowing the system to gain ease of operation without exposing increased complexity to the user.
Data Source
AI summary
A system is provided. The system includes one or more hardware processors, a memory storing a plurality of parsing mechanics, each parsing mechanic of the plurality of parsing mechanics being associated with a plurality of functions provided by a software system, and a natural language interface engine, executing on the one or more hardware processors. The natural language interface engine configured to receive a first execution job from a user device of the natural language interface engine, the first execution job including a first sentence in a natural language, identify a first parsing mechanic from the plurality of parsing mechanics based on natural language contents of the first sentence, identify, from the identified first parsing mechanic, that a first function of the plurality of functions is associated with the first parsing mechanic, execute a first function call to the first function, and provide results to the user device.