Abstract: There is no uniform format standard for judicial business data storage, and there exists data islands in each organization’s data query and access. In order to solve the heterogeneity between data access, this paper proposes a multi-source judicial data integration method based on data virtualization, which establishes metadata mapping relationship through data virtualization technology, and uses middleware to form a data exchange center to realize multi-organ and multi-type judicial data integration. The improved K-means clustering algorithm is used to cluster virtual object metadata, shorten data access time and improve judicial data query efficiency. The proposed method can ignore the influence of data storage heterogeneity and realize accessible data access channels of various judicial organs.

Key words: data virtualization, middleware, metadata, improved K-means clustering algorithm