Tree to String Transformation for Hierarchical Data
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Solution Overview
Problem
Manipulating and recognizing specific data representations or patterns in complex hierarchical data arrangements, such as relational databases, is computationally complex and cumbersome.
Innovation Solution
The method involves representing trees or portions of trees using natural numerals through an association between trees and natural numerals, allowing for operations like zero-push and one-push to generate ordered trees, and using symbolic expressions to represent trees and perform operations like merger and push.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If hierarchical data arrangements are used to represent complex relationships, then information conveyance is improved, but manipulation complexity increases
Solution Approach 1:
The patent introduces an intermediary encoding system that transforms hierarchical tree structures into linear string representations using specific syntax rules. This intermediary representation allows complex hierarchical manipulations to be performed through simpler string operations, resolving the contradiction between preserving hierarchical information and reducing manipulation complexity.
Solution Approach 2:
The patent replaces mechanical tree traversal and manipulation operations with symbolic string processing operations. By encoding tree structures as strings with specific delimiters and markers, complex hierarchical operations are substituted with simpler string manipulation techniques, reducing the mechanical complexity while preserving information.
2Reliability
If complex hierarchical structures are manipulated directly, then data integrity is maintained, but computational efficiency decreases
Solution Approach 1:
The patent creates a symbolic copy of the hierarchical structure in the form of a string representation. This copy maintains all structural information through careful encoding while allowing efficient manipulation. Operations performed on the string copy preserve data integrity when mapped back to the original structure, achieving both reliability and efficiency.
Solution Approach 2:
The patent changes the representation parameter from nested hierarchical objects to linear strings with structural markers. This parameter change enables more efficient computational operations while maintaining data integrity through the reversible nature of the encoding scheme, which preserves all original structural relationships.
3Loss of information
If tree structures are used to represent hierarchical data, then relationship clarity is improved, but operation simplicity deteriorates
Solution Approach 1:
The patent introduces a string-based intermediary representation that captures tree relationships through structured syntax. This intermediary form maintains relationship clarity through explicit markers and delimiters while enabling simpler linear operations compared to navigating complex tree structures directly.
Solution Approach 2:
The patent segments the tree structure into discrete string tokens and markers that represent nodes, edges, and relationships. This segmentation allows each relationship to be explicitly represented in the string form while enabling operations to be performed on individual segments rather than requiring complex tree navigation.
Data Source
AI summary
Embodiments of articles, apparatuses, devices and/or systems for manipulating hierarchical sets of data are disclosed.