Multi-source Heterogeneous Data Fusion Technologies and Government Big Data Governance System
With the rapid development of information technology,the data held by governments and enterprises are growing expo-nentially.However,the multi-source of data will lead to different formats,the low quality of data will affect the application re-sults,the decentralized management of data will weaken integration services,and the heterogeneous modal of data will cause se-mantic gaps.Under this background,multi-source heterogeneous data fusion is responsible for effectively integrating multi-modal data from different sources,and then achieve information complementarity and data association,thus realizing information en-hancement.At present,most studies focus on big data governance process and multi-modal deep learning,there are few works dis-cuss integral multi-source heterogeneous data fusion framework.Therefore,based on reviewing the key technologies,this paper proposes the key technologies framework of multi-source heterogeneous data fusion that covering the processes of"data collec-tion-data cleaning-data integration-data fusion",and introduces the problems and tasks of each stage.Then,through an example of the government affairs application,the data governance system for government data is designed,which further explains the signi-ficance of multi-source heterogeneous data fusion.In the end,this paper is summarized and future work is prospected.
Multi-source heterogeneous dataMulti-modal data fusionData governance technologyBig data of government af-fairsBig data governance process
万方数据
维普
