An intelligent reasoning method of archival data based on semantic ontology

The invention discloses an intelligent reasoning method of archival data based on semantic ontology. The method applies the semantic ontology reasoning to the intelligent association of archives, utilizes HMM word segmentation algorithm and LDA subject model classification algorithm to carry out subject classification processing on the archival data corpus as the bottom construction of semantic management. Then the ontology of archives semantics is constructed, and the intelligent association of archives in archives data corpus is realized by using the association characteristics defined in ontology. Compared with the existing archives query management system, the intelligent association system driven by semantic ontology can improve the efficiency of query and support the newly added association categories, and the extensible row is better than the database-based archives management system. 本发明公开了种基于语义本体的档案数据智能推理方法，本方法将语义本体推理运用到档案的智能关联中，运用HMM分词算法和LDA主题模型分类算法，对档案数据语料库进行主题分类处理，作为语义管理的底层构建。之后构建档案语义本体，运用本体中定义的关联