图书情报工作

图书情报工作 >

2017 , Vol. 61 >Issue 24: 135 - 143

DOI: https://doi.org/10.13266/j.issn.0252-3116.2017.24.016

综述述评

近10年我国传统知识组织系统关联化研究述评

  • 韩燕 ,
  • 何琳 ,
  • 彭爱东
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  • 南京农业大学信息管理系 南京 210095
韩燕(ORCID:0000-0002-7852-8652),硕士研究生;彭爱东(ORCID:0000-0003-2221-415X),副教授,硕士生导师

收稿日期: 2017-06-12

  修回日期: 2017-09-30

  网络出版日期: 2017-12-20

基金资助

本文系南京农业大学中央高校基本科研业务费人文社会科学研究基金（项目编号：SKCX2017004）研究成果之一。

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Review on the Research of Open Link of Knowledge Organization Systems in China in Recent Ten Years

  • Han Yan ,
  • He Lin ,
  • Peng Aidong
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  • Department of Information Management, Nanjing Agricultural University, Nanjing 210095

Received date: 2017-06-12

  Revised date: 2017-09-30

  Online published: 2017-12-20

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摘要

[目的/意义]对传统知识组织系统关联化现状进行梳理和分析，为国内传统知识组织系统语义化研究提供参考和建议。[方法/过程]通过文献数据库及网络平台进行检索和调查，概述国内相关研究情况，并从研究者采用不同语义化描述方法模型的角度对国内传统知识组织系统的语义化描述现状和研究成果进行分析。[结果/结论]对比国外相关研究，指出我国目前的研究运用的语义描述框架对传统KOS的表达能力有限、缺少转换后本体模型的质量控制、关联数据发布成果较少、且鲜有关于后续问题的研究，需要扩展综合现有的语言模型，进行转换后模型的质量控制，同时加强研究成果的开放与共享，逐步实现从理论研究到实践运用的过渡。

关键词： 知识组织系统; 关联数据; KOS; SKOS; OWL; CKOS

本文引用格式

韩燕 , 何琳 , 彭爱东 . 近10年我国传统知识组织系统关联化研究述评[J]. 图书情报工作, 2017 , 61(24) : 135 -143 . DOI: 10.13266/j.issn.0252-3116.2017.24.016

Abstract

[Purpose/significance] This paper aims to grasp the research status about open link of knowledge organization systems in China to provide reference and inspiration for research of open link of knowledge organization systems in China.[Method/process] This study reviews the domestic related research through retrievaling the literature database and investigating the network to display and analyze the current achievements in the research of open link of traditional knowledge organization systems in China from the aspect of diversified models to build the semantic knowledge organization systems.[Result/conclusion] Compared to the related research abroad, we find thatthe semantic description framework has limited expression ability for traditional KOS,that the domestic current research is lack of the quality control over the re-engineered ontology models,that the semantic knowledge organization systems is less published on the Web as Linked Data,and that there is little research on subsequent problems such as establishing matching relations among datasets ontologies of the linked data web.Thus,we need to extend the existing semantic models,to attach great importance to quality control over the re-engineered ontology models, and we should enhance the openness and sharing of research results, so that we will gradually realize the transition from theory to practice.

Key words： knowledge organization; linked data; KOS; SKOS; OWL; CKOS

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