Integrated Search System with Probability Normalization
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Solution Overview
Problem
Existing heterogeneous database integration systems struggle to output accurate replies based on large amounts of data using multiple AI search devices trained with large datasets, as they cannot effectively combine and evaluate the probabilities of individual replies on the same scale.
Innovation Solution
An integrated search system comprising an upper-level processing device and multiple lower-level AI search devices, where the upper-level device recognizes inquiries, generates search requests, normalizes reply probabilities, and generates inquiry replies based on normalized probabilities from AI and non-AI databases, enabling the combination of AI search devices and evaluation of individual reply probabilities on the same scale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple AI search devices are combined to output replies based on large amounts of data, then the amount of data available for accurate replies increases, but the ability to evaluate and combine probabilities from different devices becomes problematic
Solution Approach 1:
The patent introduces a probability normalization unit as an intermediary component that receives probability values from multiple AI search devices and converts them into a common probability scale. This mediator enables the upper-level device to effectively combine and evaluate probabilities from different AI search devices, resolving the complexity issue while maintaining the benefit of using multiple devices trained on large datasets
2Reliability
If AI search devices trained with large datasets are used, then the probability and accuracy of replies improve, but the system cannot effectively combine replies from multiple devices on a unified probability scale
Solution Approach 1:
The patent applies parameter transformation by changing the probability scale parameter. The normalization unit transforms probability parameters from different AI search devices (which may have different scales or distributions) into a unified probability scale, enabling compatible combination and evaluation while preserving the high accuracy benefits of each device
3Adaptability or versatility
If a heterogeneous database integration system is used, then the system can refer to multiple types of databases, but it cannot output replies with high probability based on large amounts of data using multiple AI search devices
Solution Approach 1:
The patent implements universality by designing a probability normalization mechanism that works across multiple AI search devices and database types. The normalization unit provides a universal interface for probability evaluation, enabling the system to maintain adaptability to heterogeneous databases while achieving high reply probabilities through multiple AI search devices
Data Source
AI summary
An upper-level integrated processing device recognizes an inquiry, generates a search request in a primitive form to be output to each of the individual AI search devices in response to the inquiry, receives an individual reply and the probability thereof corresponding to the search request in the primitive form from a plurality of individual AI search devices, normalizes the probabilities of the individual replies from the individual AI search devices to acquire normalized probabilities, and generates an inquiry reply corresponding to the individual replies and the normalized probabilities thereof, and the lower-level individual AI search device searches Individual AI database using artificial intelligence in response to reception of the search request in the primitive form, acquires an individual reply and the probability thereof, and outputs the same in the primitive form to the integrated processing device. The upper-level devices output reply using a plurality of AI search devices in combination.