Natural Language Comprehension System for Structured Search
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Solution Overview
Problem
Conventional search methods in natural language recognition are inefficient due to rigid input rules, leading to misinterpretation of user intentions and the provision of non-structured, unrelated search results, which require users to browse through numerous pages to find relevant information.
Innovation Solution
A search system that utilizes a structured database with a search engine to conduct full-text searches, parsing user requests into structured data to accurately recognize user intentions and provide meaningful, structured search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional phrase lists with rigid input rules are used, then user intentions can be recognized with predefined idioms, but users are forced to remember specific idioms and colloquial expressions vary, leading to misinterpretation of user intentions
Solution Approach 1:
The system changes the parameter of input processing from rigid phrase matching to flexible semantic analysis. By using natural language understanding techniques, the system can interpret various ways users express the same intention, whether through predefined idioms or colloquial expressions, thereby maintaining both recognition accuracy and input flexibility.
Solution Approach 2:
The system introduces an intermediary layer between user input and intention recognition. This intermediary involves semantic analysis and context understanding modules that translate diverse user expressions into standardized intention representations, enabling accurate recognition without forcing users to remember specific idioms.
2Productivity
If full-text search is conducted in conventional databases, then search results can be obtained, but the results are non-structured data containing separate and unrelated information requiring users to browse page by page
Solution Approach 1:
The system segments search results into structured data formats with clear organization. By dividing information into relevant categories and relationships, the system presents search results as structured records rather than unorganized text, enabling users to quickly identify and access relevant information without browsing through entire pages.
Solution Approach 2:
The system performs preliminary structuring of search results before presentation to the user. By pre-organizing data according to relevant categories and relationships, the system eliminates the need for users to browse through unstructured information, thereby improving both retrieval speed and information accessibility.
3Ease of operation
If conventional search engines are used, then keywords can be searched, but search results contain separate and diverse information that is hard to identify as useful
Solution Approach 1:
The system merges multiple pieces of information into unified structured records. By combining related information elements into coherent data structures, the system presents search results as integrated units rather than separate fragments, making it easier for users to identify relevant information and improving both operational ease and result relevance.
Data Source
AI summary
A search method, a search system, and a natural language comprehension system are provided. The search system includes a structured database and a search engine. The structured database stores a plurality of records, each of which has a title field and a content field. The title field includes at least one sub-field, and each sub-field includes an indication field and a value field. The indication field stores indication data, the value field stores value data, and the content field stores detailed content data. The search engine conducts a full-text search to the records in the structured database according to a keyword derived from a user's request formation, and a search result is transmitted to a knowledge comprehension assistance module, so as to recognize the user's intention. After the user's intention is recognized, information associated with the recognized user's intention is transmitted back to the user.