Research On Isomerous Data Analysis And Application Of Social Security Audit

Social Security relates to the broad masses of people's basic interests, and their corresponding supervision and auditing is essential. Because of all localities social security information system is not unified and diverse characteristics, when the social security audit data import into often encountered data items inconsistency . The problem through computer analysis to automatically extract different Social Security database data of the same significance as auditing organs what to be solved.Heterogeneous Data analysis includes comprehensive use of natural language processing technology, involving computational linguistics, information science and artificial intelligence, and other subjects, is when the computer application of one of the hot spots issue. It is mainly composed of semantic analysis, analysis of the two models. Chooses the semantic analysis as a research direction.In this thesis, the basic old-age social insurance network auditing system (N-SAS), a design based on the social security through the auditing profession and the social security auditing profession HowNet-word dictionary of heterogeneous data semantic analysis system, at the same time around the heterogeneous social security data analysis system in the process of achieving professional knowledge base of the building, the collection of social security expertise and organizations, as well as the understanding of the social security field audits, similar to the data of the View-based social security and the auditing profession HowNet Words such as Consumers Toki key core technology carried out a series of research and study, finally the entire heterogeneous data analysis system and the realization of the trial results, and evaluation of results.