一种智能语义匹配的分布式知识库查询方法、装置及设备
By optimizing intelligent semantic matching and distributed computing, the real-time and scalability bottlenecks of traditional knowledge bases have been solved, enabling efficient and scalable knowledge querying, which is suitable for intelligent question answering and real-time data analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
- Filing Date
- 2025-07-02
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional knowledge bases cannot be updated in real time, resulting in system response delays, low data processing efficiency, difficulty in handling fuzzy queries and subtle semantic differences, poor scalability, and low resource utilization.
A distributed knowledge base query method based on intelligent semantic matching is adopted. Through preprocessing, vector knowledge base updating, key information extraction and intent type classification, combined with a three-level deduplication algorithm and an incremental learning framework, dynamic knowledge management and distributed computing optimization are achieved.
It improves the timeliness, matching accuracy, and resource utilization efficiency of knowledge retrieval, enhances the scalability of the system, adapts to sudden increases in data volume, and provides efficient and scalable intelligent question answering and real-time data analysis solutions.
Smart Images
Figure CN120832368B_ABST