Interactive Deep Q&A System Using Logic Tags
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Solution Overview
Problem
Current deep question and answer technologies are inefficient and imprecise, requiring users to search through webpages, which consumes time and yields unsatisfactory results.
Innovation Solution
An interactive method and apparatus that receives a query, extracts logic tags and keywords, and uses a logical structure data table to acquire and display search results, improving efficiency and precision by leveraging authoritative encyclopedia data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users search for answers through webpages using a search engine, then they can find information, but the search process consumes a long time and the efficiency is low
Solution Approach 1:
The patent pre-processes and structures encyclopedia data into a logical structure data table with logic tags and keywords before users need to search. This preliminary organization of information allows for rapid retrieval without requiring users to browse through webpages, directly resolving the time consumption and efficiency issues.
Solution Approach 2:
The patent introduces a logical structure data table as an intermediary between the encyclopedia data and the user query. This intermediary structure contains pre-extracted logic tags and keywords that enable direct matching with user queries, eliminating the need for traditional webpage browsing and significantly improving search efficiency.
2Measurement precision
If users search through webpages, then they can find information, but the precision of search results is not enough
Solution Approach 1:
The patent segments encyclopedia data into structured components with specific logic tags (such as definition, function, parameter, etc.) and keywords. This segmentation allows for precise matching with user query intent, improving result precision while maintaining high efficiency through direct tag-based retrieval.
Solution Approach 2:
The patent transforms unstructured encyclopedia data into a structured format with specific parameters including logic tags, keywords, and hierarchical relationships. This parameter transformation enables precise querying and filtering, directly improving search result precision without sacrificing efficiency.
3Ease of operation
If traditional search methods are used, then users can browse information, but the process is complex and requires multiple steps
Solution Approach 1:
The patent extracts the essential information elements (logic tags, keywords, and answer content) from complete encyclopedia articles and stores them in a condensed logical structure data table. This extraction allows users to get direct answers without needing to browse through complete webpages, simplifying the operation and reducing time consumption.
Data Source
AI summary
The present disclosure provides an interactive method and an interactive apparatus based on deep question and answer. The interactive method includes: receiving a query; extracting a logic tag of the query, extracting a keyword of the query, and acquiring a search result corresponding to the logic tag and the keyword based on a logical structure data table; and displaying the search result.