Research On Data Fusion Of Personal Information In Colleges And Universities

With the rapid development of technology such as big data and cloud computing,the way of data generation is expanding.The data generated by various data sources make the relationship between data become more and more complex.The existence of large data provides a possibility for the realization of more humanized and personalized application services.And the personalized service needs panoramic data to be realized.Data fusion technology is one of the key technologies to form panoramic data.On the other hand,the application of big data has penetrated into the field of teaching.The emergence of all kinds of application systems and platforms makes the problems existing in the process of data sharing and interaction increasingly prominent.The university has huge data resources,the independent management regulations and mode.In the relatively closed environment of information management,the existence of hidden information disclosure or improper use,will make the personal information in huge risk.Once the private information is not appropriate in public,brought the consequences will be unbearable to contemplate.Based on this,this research focuses on the application of data fusion technology of personal information data sharing.This research first makes a systematic review of the theories and methods of data fusion,personal information and metadata.Then,the three problems of personal information data fusion in universities are analyzed and discussed.For the former,put forward to resolve the use of data classification and data desensitization technology,respectively,the classification and grading of the teachers’ information,combined with the specific service scene of personal information,the classification and grading of service matching strategy scenarios,application scenarios and information data between,between scene and data access control to avoid the flow of data,advanced low-level application scenarios;for the latter,data modeling and metadata conflict resolution fusion rule based on the different types of scene based on the corresponding data fusion scheme is proposed and analyzed using specific examples of the scene.Finally,in order to verify the effectiveness and feasibility of the above data fusion scheme,the author selects the actual service scenario of teacher performance assessment,and simulate the solving process of data conflict heterogeneity and data association fusion under this scenario.