Standard information automatic acquisition interface calling system

The system, which combines a natural language parsing module with a standard matching engine, solves the problems of multi-source heterogeneity and version inconsistency in standard information management in large organizations, realizes efficient and intelligent automatic acquisition and call of standard information, and improves semantic understanding and call accuracy.

CN120611040APending Publication Date: 2025-09-09JILIN POWER SUPPLY COMPANY STATE GRID JILIN ELECTRIC POWER
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Patent Information

Application Number
CN202510789634.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-13
Publication Date
2025-09-09

AI Technical Summary

Technical Problem

In large-scale industry organizations, standard information management faces problems such as multi-source heterogeneity, semantic conflicts, inconsistent version control, and unstable calls. Existing technologies make it difficult to achieve efficient and intelligent standard information management.

Method used

The system combines a natural language parsing module with a standard matching engine. Through an intelligent matching mechanism driven by semantic structuring and knowledge graph, it realizes the automated processing from natural language input to standard entities, including named entity recognition, intent recognition, semantic alignment, standard entity retrieval and matching, supports ontology reasoning and fuzzy semantic matching, and has interface frequency limiting, circuit breaker mechanism and version tracking capabilities.

Benefits of technology

It improves the automation level and semantic understanding ability of standard information retrieval, solves the problems of semantic deviation and version mismatch, and is suitable for standard management scenarios with high consistency and compliance requirements, especially large organizations such as the State Grid.

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Abstract

The invention relates to a standard information automatic acquisition interface calling system, which comprises a natural language analysis module used for receiving a text, image or voice query request input by a user, extracting standard related semantic information through a semantic structuring mode, and sending the standard related semantic information to a server; the semantic information comprises standard subject terms, applicable objects and time dimension labels; the standard matching engine is used for retrieving matched standard entities in a constructed standard knowledge graph based on semantic information, and the standard knowledge graph is constructed by aggregating a plurality of standard databases and supports ontology reasoning and fuzzy semantic matching; wherein the natural language analysis module and the standard matching engine cooperate to complete an automatic processing flow from natural language input to standard entity return.
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