Hierarchical Document Scoring Using Canonical Paths and Weights
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Solution Overview
Problem
Existing automated techniques for evaluating hierarchical documents, such as software code, fail to account for their structural hierarchy and importance of elements, leading to missed structural errors and inability to adapt to user-specific needs.
Innovation Solution
Generate a canonical representation of each hierarchical path within a document, assign weights based on path importance, calculate scores for errors and compliance with user-defined rules, and combine these scores to produce a composite evaluation metric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual evaluation is used to detect errors in hierarchical documents, then evaluation accuracy is improved, but evaluation time and resource consumption increase significantly
Solution Approach 1:
The patent segments the hierarchical document into multiple hierarchical paths, each representing a specific navigation route from root to leaf nodes. By dividing the evaluation task into path-level segments, the system can process each path independently and efficiently, reducing overall evaluation time while maintaining comprehensive error detection across the entire document structure.
2Productivity
If existing automated techniques are used to evaluate documents, then evaluation speed is improved, but structural errors are missed due to failure to account for hierarchical structure
Solution Approach 1:
The patent introduces a hierarchical dimension to the evaluation process by representing the document as a tree structure with multiple hierarchical paths. This dimensional transformation allows the system to capture structural relationships and dependencies that flat automated techniques miss, enabling detection of structural errors while maintaining evaluation speed through systematic path-based processing.
3Ease of operation
If uniform evaluation is applied to all document elements, then evaluation process simplicity is improved, but importance of different elements cannot be accounted for
Solution Approach 1:
The patent applies local quality by assigning different weights to different hierarchical paths based on their importance. Each path receives a weight that reflects its significance to the overall document quality, allowing the evaluation process to focus more heavily on critical paths while still maintaining a systematic and relatively simple evaluation framework that processes all paths uniformly according to their assigned weights.
Data Source
AI summary
Aspects of the present disclosure relate to automated evaluation of hierarchical documents. Embodiments include generating a canonical representation of each hierarchical path within a document; assigning weights to each hierarchical path within the document based on the canonical representation of the hierarchical path; calculating a first score for each hierarchical path within the document based on: a corresponding weight for the hierarchical path; and identifying one or more errors within the hierarchical path based on the canonical representation of the hierarchical path; calculating a second score for each hierarchical path within the document based on: the corresponding weight for the hierarchical path; and determining whether a value within the canonical representation of the hierarchical path complies with a rule; and calculating a composite score for the document based on the first score and the second score for each hierarchical path within the document.