Query-Based Data Modification System for Intuitive Organization
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Solution Overview
Problem
Hierarchical organization systems restrict users to specific organizational conventions and are inefficient in handling complex data modifications, while search-based systems often require repetitive queries and limited data modification capabilities.
Innovation Solution
A query-based data modification system that allows users to formulate and submit queries, edit search results by moving items between result sets, and determine user intent through query parsing and comparison, enabling modifications to underlying searchable data without requiring users to interact directly with it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hierarchical organization systems are used, then data organization is simplified, but user flexibility and adaptability are restricted
Solution Approach 1:
The patent introduces a query parser and intent determination system as an intermediary between the user's natural language queries and the hierarchical data structure. This intermediary translates user intentions into modifications of the underlying data organization, allowing users to work with natural concepts rather than being constrained by the fixed hierarchical convention.
Solution Approach 2:
The system changes the interface parameters from fixed hierarchical paths to flexible natural language queries. By parsing queries and determining user intent, the system can modify data organization parameters dynamically based on user needs rather than requiring users to adhere to predetermined organizational structures.
2Adaptability or versatility
If search-based systems are used, then data retrieval flexibility is improved, but data modification capability is limited
Solution Approach 1:
The patent makes the query-based system multi-functional by enabling it to perform both data retrieval and data modification operations. The same query parsing and intent determination mechanism that enables flexible search also enables intuitive data modification through natural language commands.
Solution Approach 2:
The system provides self-service data modification by automatically determining user intent from queries and executing appropriate modifications without requiring users to manually navigate complex data structures or use specialized modification interfaces.
3Device complexity
If hierarchical organization systems are used, then data structure is simplified, but complex data modifications become difficult to resolve
Solution Approach 1:
The query parser and intent determination system serve as an intermediary layer that translates complex user modification intentions into executable operations on the simplified hierarchical data structure. This allows the data structure to remain simple while the system handles complex modification scenarios through intelligent query interpretation.
Solution Approach 2:
The system incorporates feedback mechanisms in the intent determination process, where the query parser analyzes user input and provides guidance or confirmation for complex modifications. This feedback loop helps resolve ambiguities in complex data modification scenarios while maintaining the simplicity of the underlying data structure.
4Measurement precision
If search-based systems require repetitive queries, then data retrieval precision is maintained, but user time and effort increase
Solution Approach 1:
The query parser performs preliminary analysis of user queries to determine intent and execute modifications in advance. By interpreting and executing multiple operations from a single query, the system reduces the number of repetitive queries users need to submit while maintaining precise data retrieval and modification.
Solution Approach 2:
The patent merges multiple operations (search, retrieval, and modification) into a single unified query-based interface. Users can combine multiple tasks into one query, and the system executes them together, eliminating the need for repetitive separate queries and reducing overall user time and effort.
Data Source
AI summary
Techniques for query-based data modification are described herein. In some examples, a first search of searchable data may be performed based, at least in part, on a first query. A second search of the searchable data may be performed based, at least in part, on a second query. One or more results of the first search may be provided. Input may be received for associating a first result of the first search with the second search. At least a first modification, related to the input, to perform on the searchable data may then be determined. The first modification may then be performed on the searchable data.