Semantic Answer Retrieval via Priority Sub-database Search
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Solution Overview
Problem
Existing question-answering systems are prone to providing inaccurate answers due to the complexity of natural language, as they directly rely on text information without adequate semantic understanding, leading to resource inefficiencies and inadequate adaptation to user queries.
Innovation Solution
A method and device that utilize a predetermined knowledge database with multiple sub-databases, where a text sequence is processed by dividing it into word segments to obtain semantic information, and then searched across sub-databases in priority order to provide accurate answer information, with the ability to supplement answers based on historical searches and user equipment parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing question-answering systems directly provide answers based on text information without semantic understanding, then the system operation is simple, but the answer accuracy deteriorates due to natural language complexity
Solution Approach 1:
The patent introduces a semantic understanding module as an intermediary between the text input and answer retrieval processes. This module processes natural language text to extract semantic information before querying the knowledge base, thereby improving answer accuracy without requiring complete system redesign. The semantic module acts as a mediator that translates complex natural language into structured queries.
Solution Approach 2:
The system segments the answer retrieval process into multiple stages: text segmentation into word segments, semantic information extraction from each segment, and hierarchical database searching. This segmentation allows the system to handle natural language complexity step-by-step, improving accuracy while maintaining manageable system complexity through modular architecture.
2Reliability
If the system searches all sub-databases without priority ordering, then comprehensive search coverage is achieved, but resource consumption increases
Solution Approach 1:
The patent implements preliminary action by establishing a priority order for sub-databases before the actual search process. The system pre-configures which databases should be searched first based on relevance to the semantic information, allowing it to terminate the search early when a satisfactory match is found. This preliminary ordering ensures comprehensive coverage is maintained while significantly reducing resource consumption by avoiding unnecessary searches in lower-priority databases.
3Adaptability or versatility
If the system supplements answer information with parameters from user equipment, then answer adaptability improves, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively supplementing answer information with parameters from user equipment only when necessary and relevant to the specific query. Rather than uniformly processing all user equipment data, the system identifies and extracts only the specific parameters needed for particular questions, thereby improving answer adaptability while minimizing the increase in processing complexity through targeted parameter extraction.
Data Source
AI summary
Method, device and equipment for acquiring answer information are provided. The method includes: acquiring a text sequence to be processed from a user equipment; dividing the text sequence into a plurality of word segments and obtaining semantic information of at least one of the plurality of word segments; performing a search in at least one of the plurality of sub-databases for matching the semantic information, successively from high to low in priority of the sub-databases, till an initial answer information matching the semantic information is found; and providing an established answer information corresponding to the initial answer information to the user equipment. Based on better semantic understanding to the text sequence, more accurate answer information may be provided.