摘要
本文介绍了一种档案文献的计算机分类标引算法。该算法以主题词作为分类的依据,对不能直接映射归类的档案,统计文献主题词隶属于各个类的隶属度,利用模糊关系对档案进行分类标引,为了提高分类效率,使分类系统具有实用性,提出了几种措施。
This paper describes an indexing descriptor based algorithm of indexing classification for Chinese archives. For archives which can not be classified directly by indexing descriptors,the algorithm decides on membership function of indexing descriptors belonging in each of classification by statistics and classifies Chinese archives with fuzzy relation.For increasing speed of classification,some measures are given,so the algorithm is practical.
出处
《情报学报》
CSSCI
北大核心
1999年第3期241-244,共4页
Journal of the China Society for Scientific and Technical Information
基金
国家档案局科技项目基金
关键词
分类标引
自然语言处理
文书类
档案
indexing classification,natural language processing.