一种基于知识图谱的业务数据变更审计方法及系统
本申请涉及数据审计技术领域,公开一种基于知识图谱的业务数据变更审计方法及系统,通过事件概要信息的生成、风险模式的匹配、高风险事件的知识图谱多跳推理以及低风险事件的归档存储,形成了一个分层、智能、高效的业务数据变更审计流程。这种方法不仅解决了传统审计方法在处理复杂数据关联时的局限性,而且通过风险聚焦和知识图谱的深度分析,显著提升了审计效率和风险识别的准确性,为企业提供了更强大的风险控制能力。
APPLICANTS
Browse source applicant names and unchanged name fields from imported patent records.
These are name-based results, not verified legal entities. Identical names may refer to different people or organizations; aliases and historical names are not merged.
This name was extracted from a distinct applicant node in the source XML.
1 indexed patent records
Patent counts refer to distinct records held by this site, not an applicant’s complete portfolio. A joint name field is not a single company.
Verified corpus date coverage and last import time are not currently available. Publication dates on patent records are not import dates. Cached directory results may lag behind new imports.
Search the local original applicant field containing this full text. Results may include joint lists or longer names; this is not an exact identity search.
Search patents with this applicant condition