Restricted by the diversity,individuation and value characteristics of historical archive resources,the aggregation re-sults obtained by the traditional aggregation model have a large deviation from the expected effect,and there are serious resource losses in the process of some historical resources aggregation,and its aggregation accuracy is difficult to meet the requirements of the aggregation scene.In order to improve the application of traditional aggregation model in historical archive resources,a multi-mode information fusion algorithm is introduced to build a historical archive resource distribution model based on multi-mode in-formation fusion.Firstly,the correlation distribution of resource features is sorted out,and the semantic aggregation of historical archive resources is set.Then,the standard of effective relation parameters in the polymerization process and the polymerization method are fixed.Finally,the model is obtained through aggregation of historical file resources based on multi-modal information fusion.Through the feasibility simulation data verification with the other two aggregation models,it is shown that each aggrega-tion index of the proposed model can meet the aggregation conditions of historical archive resources,and the model has stable performance and high reliability,which is suitable for small-scale application at present,and has high value for promotion and in-depth research.
关键词
多模态信息融合/历史档案/资源聚合/模型
Key words
multi-modal information fusion/historical archives/resource aggregation/model
维普
万方数据