Research on Data Association Fusion Technology Based on Knowledge Graph
In response to the poor performance of current data association fusion technology in complex semantic reasoning and cross domain fusion,this paper first proposes a knowledge graph based data association fusion technology to explore the development trend of knowledge graphs and lay the foundation for association fusion.Secondly,a knowledge graph driven association fusion framework was designed from the aspects of data source selection,establishment of data association relationships,and quality evaluation of data fusion results,to complete the preprocessing and cleaning of relevant data and match data patterns.Research has shown that this technology has good application effects in complex semantic reasoning and cross domain fusion.
万方数据
维普
