计算机与现代化 ›› 2024, Vol. 0 ›› Issue (10): 120-126.doi: 10.3969/j.issn.1006-2475.2024.10.019

• 多媒体技术 • 上一篇    

基于多模态信息融合的历史档案资源聚合模型


  

  1. (1.国网江西省电力有限公司上饶供电分公司,江西 上饶 334000; 2.福建亿榕信息技术有限公司,福建 福州 350000)
  • 出版日期:2024-10-29 发布日期:2024-10-30

An Aggregation Model of Historical Archive Resources Based on Multimodal#br# Information Fusion

  1. (1. Shangrao Power Supply Branch of State Grid Jiangxi Electric Power Co., Ltd., Shangrao 334000, China;
    2. Fujian Yirong Information Technology Co., Ltd., Fuzhou 350000, China)
  • Online:2024-10-29 Published:2024-10-30

摘要: 受历史档案资源多样性、个性化特征及其价值性特点的制约,传统聚合模型所得聚合结果与预期效果偏差较大,且在部分历史资源聚合过程中存在资源损失严重的问题,其聚合精准度难以满足该场景聚合要求。为了改善传统聚合模型在历史档案资源应用现状,通过引入多模信息融合算法,构建基于多模态信息融合的历史档案资源分布模型。首先梳理资源特征关联分布情况,对历史档案资源语义聚合进行设定;然后,固定聚合过程中有效关系参量标准及其聚合方式;最后,通过基于多模态信息融合的历史档案资源聚合获得模型。通过与另外2种聚合模型的可行性仿真数据验证表明,本文模型的各项聚合指标均能满足历史档案资源聚合条件,且模型表现稳定、可靠性高,适合现阶段小范围应用,推广与深度研究价值较高。

关键词: 多模态信息融合, 历史档案, 资源聚合, 模型

Abstract: Restricted by the diversity, individuation and value characteristics of historical archive resources, the aggregation results 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 information 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 aggregation 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.

Key words:  , multi-modal information fusion, historical archives, resource aggregation, model

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