基于关联书目数据的DDC与LCC类号映射实现

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英文篇名：Realization of DDC and LCC Classification Number Mapping Based on Linked Bibliographic Data 作者：贾君枝 ; 陈瑞 英文作者：Jia Junzhi;Chen Rui; 关键词：杜威十进分类法 ; 美国国会分类法 ; 关联书目数据 ; 等同映射 ; 映射规则 英文关键词：The Dewey Decimal Classification(DDC);;The Library of Congress Classification(LCC);;Related bibliographic data;;Equivalent mapping;;Mapping rules 中文刊名：TSQC 英文刊名：Documentation,Information & Knowledge 机构：中国人民大学信息资源管理学院;山西大学经济与管理学院; 出版日期：2019-04-19 10:00 出版单位：图书情报知识 年：2019 期：No.188 基金：国家社科基金重点项目“基于关联数据的中文名称规范档语义描述与数据聚合研究”(15ATQ004)的研究成果之一 语种：中文; 页：TSQC201902011 页数：11 CN：02 ISSN：42-1085/G2 分类号：83-93

摘要

[目的/意义]以关联书目数据为研究对象,利用标引的关联书目数据的特点构建分类号的自动映射模型,为分类法的映射方法提供借鉴。[研究设计/方法]对国内外分类表互操作实现方法分析的基础上,以《杜威十进分类法》和《美国国会图书馆分类法》标引的关联书目数据为例,分析关联书目数据的特点和实现映射的可行性,建立关联书目数据的属性信息、内容信息、链接信息的综合匹配规则,通过等同书目的识别建立书目下类号的一对一映射。[结论/发现]通过实验检验,利用关联书目数据可以建立一定可靠性的类号映射关系。在未来的研究中,还应进一步地探索更完善的匹配规则。[创新/价值]提出基于开放的关联书目数据来构建不同分类法类号自动映射模型,并可为其他分类体系的自动映射提供参考。
        [Purpose/Significance] Taking the linked bibliographic data as the research object, an automatic mapping model of classification number has been built by using the characteristics of linked bibliographic data which has been indexed. It could provide reference for the mapping method of taxonomy. [Design/Methodology] Based on the analysis of interoperability methods, taking the linked bibliographic data indexed by the Dewey Decimal Classification and the Library of Congress Classification as examples, this study analyzed the characteristics of bibliographic data and the feasibility of mapping, established comprehensive matching rules for attribute information, content information, and linked information about linked bibliographic data, and built one-to-one mapping of the classification numbers under the identification of the equivalent books. [Findings/Conclusion] Through experimental tests, linked bibliographic data can be used to establish effective mapping relations for classification schemes. Matching rules are expected to be improved in the future. [Originality/Value] This paper has proposed an automatic mapping model of different classification schemes based on open linked bibliographic data. It will provide reference for automatic mapping of other taxonomic systems.

引文

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