关键词: 实体关联, 数据空间, 模糊逻辑, 动态探针

Abstract: To solve the problem of scattered and heterogeneous data integration and fusion in the process of enterprise data space construction,a method of entity association relationship construction based on dynamic probe was proposed.By deploying probe points between business logic layer and data access layer of different application systems,key information such as global data structure,access log and related data was collected dynamically.Entity association model oriented to enterprise data space was constructed from three levels of pattern,instance and log.In the pattern association level,the multi-dimensional similarity discrimination algorithm combined with semantic analysis was used to realize the rapid fusion of similar entities;in the case association level,for the structured data such as numerical type,character type and the unstructured data such as long text type,the method based on feature vector similarity analysis and deep learning was used to complete the association matching of different entities;in the log association level,the association between different entities and attributes was established by analyzing the equivalence relations in the data access log.In addition,to solve the problem of uncertainty in the process of association construction,the final entity association construction scheme was given by using the reasoning model based on fuzzy logic.

Key words: entity association, data space, fuzzy logic, dynamic probe