Dynamic Web Forms with Selective Third-Party Data Queries
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Solution Overview
Problem
Existing web forms are inefficient due to the lack of input analysis during presentation, leading to resource wastage and unresponsiveness, particularly when handling freeform text with linguistic nuances, and they do not effectively utilize third-party data sources optimally.
Innovation Solution
A system that dynamically generates and processes web forms by evaluating inputs one-by-one, selecting relevant third-party data sources, and performing holistic analysis using ontological identification and decision models to generate responses efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the application server requests all third-party data collections after receiving complete inputs, then all possible data is available for analysis, but the system becomes unresponsive and wastes computing resources when not all data collections are needed
Solution Approach 1:
The system performs preliminary analysis of inputs during form completion to predict which data collections will be needed, and pre-loads or pre-processes only those specific data collections before they are actually required, avoiding the need to wait for complete form submission while also avoiding loading unnecessary data
Solution Approach 2:
The system dynamically adjusts data collection requests based on real-time analysis of user inputs, adapting which third-party data collections are requested at each stage of form completion rather than statically requesting all collections upfront or waiting for complete submission
2Reliability
If the application server requests all third-party data collections after receiving complete inputs, then comprehensive data is available, but computing resources are wasted when less than all data collections are actually needed
Solution Approach 1:
The system performs partial data collection by analyzing inputs and requesting only the specific subset of third-party data collections that are actually needed for the current analysis, rather than requesting all available collections, thus avoiding excessive computing resource consumption while maintaining sufficient data completeness
Solution Approach 2:
The system performs preliminary analysis of inputs to predict and pre-identify which data collections will be needed, allowing it to request only those specific collections in advance, avoiding the waste of computing resources on unnecessary data processing while ensuring required data is available
3Measurement precision
If freeform text is analyzed in linguistic substance on the browser application program, then linguistic nuances can be detected, but the browser application program becomes resource intensive, freezes, or crashes
Solution Approach 1:
The system extracts the computationally intensive linguistic analysis function from the browser application program and relocates it to the application server, where it can be performed without affecting browser stability. The browser simply sends freeform text inputs and receives processed results, while the heavy lifting of linguistic substance analysis is performed remotely
Solution Approach 2:
The system introduces the application server as an intermediary between the browser application program and the linguistic analysis process. The server acts as a mediator that receives freeform text from the browser, performs the resource-intensive linguistic analysis, and returns results to the browser, thereby protecting the browser from direct resource consumption while maintaining analysis accuracy
Data Source
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AI summary
This disclosure improves computer functionality by enabling various web forms, whether dynamic or static. For example, some of such web forms may enable a responsive user experience. For example, some of such web form may enable an efficient computing architecture. For example, some of such web forms may enable a freeform text to be analyzed in substance.