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为满足全国烟草生产经营管理一体化平台建设对行业信息分类与编码的需求，按照“流程、实体、服务”三类数字对象对信息系统进行解构，结合烟草行业业务实际情况，提出层级互信息聚类算法（Hierarchical Mutual Information Clustering,HMIC），通过对文本数据进行自然语言处理，计算不同数字对象在不同分类层级的互信息，利用层次聚类算法对数字对象进行聚类，从而得到烟草行业信息分类，并在此基础上进行信息编码。将HMIC与常用聚类算法进行对比测试，结果表明：(1)所构建的HMIC模型的信息分类效果最好，其整体信息熵比使用欧氏距离的聚类算法降低约8.2%，比仅使用互信息矩阵的聚类算法降低约2.5%。(2)从信息量的角度对分类编码进行研究，能够更好地区分不同类别之间的差异，提高信息分类与编码的可用性。该技术可为指导信息系统项目全生命周期建设提供支持。
Abstract：To meet the needs of the construction of National Tobacco Production, Operation and Management Integrated Platform of the tobacco industry, information classifying and coding are developed.The information systems are decomposed according to three types of digital objects, namely“process,entity, and service”, and in conjunction with the real-life business of the tobacco industry, a hierarchical mutual information clustering(HMIC)algorithm is proposed. By conducting natural language processing on text data, the mutual information of different digital objects at different classification levels is calculated, and the hierarchical clustering algorithm is used to classify digital objects, thus obtaining tobacco industry information classification, and then information coding is completed based on the information classification. The HMIC algorithm was compared with commonly used clustering algorithms,the results showed that: 1) The designed HMIC algorithm featured the best performance in information classifying, with its total information entropy reduced by about 8.2% compared with the clustering algorithm using Euclidean distance, and by about 2.5% compared with the clustering algorithm with mutual information matrix only. 2)From the point of information content, the research of information classifying and coding could better distinguish the differences between different categories and improve their usability. This technology supports the guidance for the whole life cycle of information system project construction.
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基本信息:
DOI：10.16135/j.issn1002-0861.2024.0600
中图分类号:TP399;TS4
引用信息:
[1]王轶博,潘伟,张海涛等.基于层级互信息聚类的烟草行业信息分类与编码设计[J].烟草科技,2024,57(09):106-112.DOI:10.16135/j.issn1002-0861.2024.0600.
基金信息:
中国烟草总公司重点研发项目“新一代信息技术融合创新与网信治理研究”（110202102049）