图书情报工作 ›› 2018, Vol. 62 ›› Issue (21): 140-148.DOI: 10.13266/j.issn.0252-3116.2018.21.017

• 综述述评 • 上一篇    

词表语义组织研究的演进(1998-2018)

陶俊   

  1. 西北大学公共管理学院 西安 710127
  • 收稿日期:2017-11-08 修回日期:2018-03-01 出版日期:2018-11-05 发布日期:2018-11-05
  • 作者简介:陶俊(ORCID:0000-0002-5341-3509),讲师,博士,硕士生导师;E-mail:taoj@nwu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金项目"多叙词表的开放关联与映射方法研究"(项目编号:14CTQ002)研究成果之一。

A Survey for Research on Semantic Organization of Vocabularies(1998-2018)

Tao Jun   

  1. School of Public Management, Northwest University, Xi'an 710127
  • Received:2017-11-08 Revised:2018-03-01 Online:2018-11-05 Published:2018-11-05

摘要: [目的/意义]词表语义组织是馆藏语义化研究的重要组成部分,梳理该领域的历史演进有利于明晰重点并推动其更好发展。[方法/过程]在辨析词表语义组织领域核心术语的基础上,提出"标准规范——语义组织方法——支撑技术——词表应用"研究框架,基于该框架梳理中文叙词表语义研究代表文献。[结果/结论]提出词表语义组织的定义及其主体框架,揭示了词表、本体、关联数据等的核心概念及其有机联系;以叙词表为例梳理我国词表语义组织研究近10年来的代表性研究工作;比较词表传统研究与语义组织研究的内在异同,并对我国词表语义组织研究进行述评和展望。

关键词: 词表, 关联数据, 语义网, 资源描述框架

Abstract: [Purpose/significance] Semantic organization of vocabulary, an important part in collection semantic research, is the focus of knowledge organization study. A research review in this field is helpful to promote its development.[Method/process] Based on the analysis of the core terms in the field of semantic organization of vocabulary, this paper proposes the analytical framework of "standard specification-semantic organization method-supporting technology-vocabulary application". With above framework, the paper reviews literature about method, technology and application.[Result/conclusion] Firstly, the paper gives the definition and main frame of vocabulary semantic organization, discusses the core concepts and their relationship including vocabulary, ontology and linked data. Then taking the example of thesaurus, it summarizes the typical research of vocabulary semantic organization in China in recent ten years. And it compares the traditional vocabulary research and semantic research. On the basis of summarizing the above literature, the current situation and future development of semantic organization of Chinese vocabulary are discussed.

Key words: vocabulary, linked data, semantic Web, resource descriptive framework

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