Judgment Document Retrieval via Information Code Association
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Solution Overview
Problem
Current judgment document retrieval methods primarily rely on vertical retrieval based on input keywords, lacking horizontal comparison or association, which limits the comprehensiveness of search results and requires multiple keyword inputs to find relevant documents.
Innovation Solution
The method involves creating information codes from judgment documents using a dimension level tree, marking documents with these codes, and associating them based on preset association information to enable both vertical and horizontal retrieval, providing more comprehensive results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vertical retrieval based on keyword matching is used, then retrieval simplicity is maintained, but retrieval comprehensiveness deteriorates due to lack of horizontal association
Solution Approach 1:
The patent segments the retrieval process into two distinct dimensions: vertical retrieval based on classification codes (cause of action, document type, court level) and horizontal retrieval based on association relationships (similar cases, related parties, referenced documents). This segmentation allows each dimension to operate independently while contributing to comprehensive results, resolving the contradiction between simplicity and comprehensiveness.
Solution Approach 2:
The patent introduces a horizontal dimension to the traditional vertical retrieval model. By adding association relationships as a new dimension alongside classification hierarchies, the system expands from single-dimension keyword matching to multi-dimensional retrieval, enabling comprehensive results while maintaining interface simplicity through unified search input.
2Measurement precision
If multiple keyword inputs are required to find relevant documents, then retrieval accuracy improves, but user operation complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-establishing association relationships between judgment documents during the indexing phase. Association rules, similarity algorithms, and reference relationships are computed and stored in advance, so that during retrieval, the system can directly leverage these pre-computed connections without requiring users to iteratively input multiple keywords, achieving both accuracy and simplicity.
Solution Approach 2:
The patent introduces classification codes and association relationships as intermediaries between user queries and judgment documents. Instead of direct keyword matching, the system uses these intermediaries to bridge the gap, enabling accurate retrieval through single keyword input while the intermediary structures handle the complexity of multi-dimensional matching and association.
3Speed
If direct listing of matching documents is provided, then retrieval speed is maintained, but result completeness deteriorates due to lack of associated documents
Solution Approach 1:
The patent merges vertical retrieval results (from classification code matching) and horizontal retrieval results (from association relationships) into a unified result set. By combining these two retrieval streams, the system maintains the speed advantage of direct matching while supplementing it with associatively related documents, achieving both speed and completeness simultaneously.
Solution Approach 2:
The patent creates a universal retrieval framework that handles both exact matching (vertical) and associative matching (horizontal) through the same system architecture. The retrieval engine is designed to execute multiple retrieval strategies in parallel or sequence, making the system multi-functional in terms of retrieval modes while presenting a unified interface to users.
Data Source
AI summary
The invention discloses a retrieval method and device for judgment documents and relates to the technical field of data retrieval, mainly aiming to mark existing judgment documents with information codes and perform vertical and horizontal retrieval according to the association relation among the information codes during retrieval so as to provide more comprehensive retrieval results. The main technical scheme of the invention includes: creating information codes, wherein the information codes are atomic data structures extracted from judgment documents according to preset classification dimensions and are configured for distinguishing and associating different judgment documents; marking judgment documents in a retrieval database with the information codes; associating the judgment documents marked with the information codes according to preset association information; acquiring corresponding information codes in retrieval information; and outputting and displaying the judgment documents marked with the information codes and judgment documents associated with the judgment documents marked with the information codes as retrieval results according to the information codes. The invention is mainly applied for retrieving the judgment documents.


