Knowledge classification method and device
By acquiring a geographic information ontology conceptual model, constructing an ontology knowledge set, and performing multi-level classification, the problems of hierarchical redundancy and poor adaptability in existing knowledge classification technologies are solved. This achieves a unity of systematicity and convenience in knowledge classification, ensuring that the classification results are consistent with the inherent system of geographic information knowledge.
Patent Information
- Application Number
- CN202610177557.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-07
- Publication Date
- 2026-04-10
AI Technical Summary
Existing knowledge classification methods suffer from problems such as redundant levels, incomplete classification logic, poor compatibility with multiple standards, and inconvenient knowledge traceability, making it difficult to meet the needs of refined knowledge management.
By acquiring a geographic information ontology conceptual model, extracting and constructing an ontology knowledge set, and using a multi-level classification method, combined with title and content feature extraction, and processing with a preset classification model, the knowledge classification results are obtained.
It achieves a balance between systematicity and convenience in knowledge classification, ensuring that the classification results are consistent with the inherent system of geographic information knowledge, and solves the problems of chaotic classification logic and poor domain adaptability in traditional methods.