摘要：【中文】本发明公开了一种智能语义串并分析方法，以用户实际业务需求为指引，以案件串并业务为切入点，以大数据、云计算为技术，以智能化精准串并为目的，通过整合调优多种数据挖掘算法，结合自动化处理而形成，该方法处理过程主要包括数据读取、语义识别、标签转换、案件打标、标签比对、关联度运算、串并案生成、串并推送及提醒的步骤。本发明应用于公共安全行业刑事侦查工作中，能够从大量案件文本数据中提取特征要素，并将含有相似要素的案件结合关联度自动关联串并起来，减轻了民警手动研判串并工作量，降低了人手串并难度，辅助民警快速精准识别关联案件。 【EN】The invention discloses an intelligent semantic parallel-serial analysis method, which is formed by integrating and optimizing various data mining algorithms and combining automatic processing by taking actual business requirements of users as guidance, case parallel-serial business as an entry point, big data and cloud computing as technologies and intelligent accurate parallel-serial as a target. The method is applied to criminal investigation work in the public security industry, can extract characteristic elements from a large number of case text data, and combines cases containing similar elements with the relevance degree to automatically associate and string, so that the workload of manually researching and string-parallel by policemen is reduced, the difficulty of string-parallel by hands is reduced, and the policemen can be assisted to quickly and accurately identify the associated cases.