Enterprise multi-level knowledge tag recommendation method and equipment

By combining semantic extraction models and multi-level knowledge graphs, this approach addresses the issues of low efficiency, insufficient accuracy, and adaptability in enterprise knowledge tag management. It enables precise tag recommendation and knowledge asset management, and is applicable to hardware devices such as enterprise knowledge platforms and cloud server clusters, while also being suitable for multi-terminal knowledge management in large enterprise groups.

CN121766434APending Publication Date: 2026-03-31太保科技有限公司
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-11
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing enterprise knowledge tag management suffers from low tagging efficiency, insufficient accuracy, lack of systematic management, inability to adapt to the knowledge management needs of multi-level and multi-business lines in group enterprises, lack of scenario adaptability and real-time performance in intelligent recommendations, lack of multi-level compliance and collaborative control, absence of human-machine collaboration and iteration mechanisms, and insufficient AI friendliness of tags.

Method used

By parsing the business semantic information of knowledge documents through a semantic extraction model, matching candidate tag sets with a multi-level knowledge graph, and conducting comprehensive verification based on multi-level compliance verification rules, the relevance and hierarchical adaptability of tags and knowledge documents are realized. Based on user roles and business semantic information, multi-dimensional association reasoning is used to recommend compliant tags.

Benefits of technology

It enhances the relevance and practicality of tag recommendations, optimizes the efficiency of enterprise knowledge tag management and knowledge asset utilization, adapts to the multi-level management needs of group enterprises, and realizes improved efficiency of cross-level and cross-business line knowledge collaboration.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121766434A_ABST
    Figure CN121766434A_ABST
Patent Text Reader

Abstract

The invention discloses an enterprise multi-level knowledge tag recommendation method and equipment. According to the method, when a knowledge document uploaded by a user is received, a user role is firstly obtained, and then text semantic analysis is carried out on the knowledge document through a semantic extraction model to extract business semantic information. And based on a multi-level knowledge graph comprising a group tag, a subsidiary tag, a business scene and a user role, combining with the extracted business semantic information for matching to obtain a candidate tag set corresponding to the knowledge document. And according to a multi-level compliance verification rule covering a basic format verification rule, a semantic boundary verification rule and a level adaptation verification rule, verifying the candidate tag set and screening out compliance tags. And performing multi-dimensional association reasoning through the multi-level knowledge graph and the business semantic information, determining a label associated with the compliance label, and finally recommending the compliance label and the associated label to a user.
Need to check novelty before this filing date? Find Prior Art