Database Query Term Suggestion System for Audio-Translated Records
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Solution Overview
Problem
Users face difficulties in formulating complex database queries with multiple terms, and often miss relevant query terms that could enhance the quality and quantity of retrieved records, especially when dealing with databases containing text translated from audio data.
Innovation Solution
A method that automatically suggests additional database query terms to users by processing entered query terms and characters, determining relevance based on statistical, syntactic, semantic, and confidence-level factors, and displaying the most relevant terms for selection, using a computer system that retrieves and analyzes records from a database containing text translated from audio data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually enter multiple query terms for complex database queries, then the completeness of query terms can be improved, but the complexity and difficulty of the query formulation process increases
Solution Approach 1:
The system automatically generates additional query terms by analyzing the user's partial input and the database contents, allowing the system to serve itself in completing the query formulation process without requiring extensive manual input from the user
Solution Approach 2:
The system provides feedback to the user by displaying suggested additional query terms based on the analysis of their input and database records, enabling the user to refine their query with informed suggestions that improve term completeness
2Ease of operation
If users enter query terms without knowledge of database contents, then the ease of operation is improved, but the quality and quantity of retrieved records decreases
Solution Approach 1:
The system performs preliminary analysis of the database contents and user input before final query execution, pre-computing relevant additional terms and their relevance scores to guide the user in forming an optimized query without requiring prior database knowledge
Solution Approach 2:
The system acts as an intermediary between the user and the database, translating the user's partial query intent into suggested complete query terms that bridge the knowledge gap and improve search result quality
3Reliability
If the system provides multiple additional query term suggestions, then the relevance coverage is improved, but the information overload to the user increases
Solution Approach 1:
The system applies local quality by ranking suggested query terms based on their relevance scores and presenting them in order of importance, allowing the user to focus on the most relevant suggestions first while still having access to additional terms if needed
Data Source
AI summary
A method for automatically providing a plurality of additional database query terms comprising receiving a first query term from a user, receiving a plurality of characters from the user, wherein the plurality of characters is only a portion of a second query term, and selecting a set of records from a database based on the query term, wherein the database comprises records which comprise text translated from audio. The method also determines a plurality of additional query terms based on the plurality of characters, and, for at least one of the plurality of additional query terms, processes at least a portion of the set of records to determine a relevance of the additional query term. Finally, the method includes displaying at least one of the plurality of additional query terms to the user for selection based on the relevance of at least one of the plurality of additional query terms.