Construction of enterprise knowledge graph based on artificial intelligence and intelligent decision system

By constructing a trustworthy enterprise knowledge graph based on semantic encoding and dependency syntax constraints, the problem of separating the semantic and temporal validity of evidence texts from multi-source business data is solved, generating a highly credible chain of decision-making evidence, and achieving accuracy and traceability in enterprise risk assessment.

CN122452707APending Publication Date: 2026-07-24JILIN HEHE COMMUNICATION TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JILIN HEHE COMMUNICATION TECHNOLOGY CO LTD
Filing Date
2026-04-30
Publication Date
2026-07-24

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Abstract

The application discloses an enterprise knowledge graph construction and intelligent decision system based on artificial intelligence, comprising the following modules: an evidence construction module, which is used for collecting enterprise multi-source business data and constructing time-aware evidence anchor points, and generating an enterprise evidence unit set; a relationship extraction module, which is used for performing entity-event-relationship linkage extraction, and generating enterprise candidate relationship edges; a conflict identification module, which is used for constructing a conflict decision matrix and generating a cross-source evidence conflict graph; a credibility generation module, which is used for generating an enterprise evidence credibility vector; a graph pruning module, which is used for generating a credible enterprise knowledge graph; a decision retrieval module, which is used for generating an enterprise decision evidence set based on an improved LightRAG retrieval architecture; and a decision output module, which is used for generating an enterprise intelligent decision result and a traceable evidence chain. The application can improve the credibility of the enterprise knowledge graph, the accuracy of the decision evidence and the traceability of the decision process.
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