图书情报工作

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2016 , Vol. 60 >Issue 15: 108 - 115

DOI: https://doi.org/10.13266/j.issn.0252-3116.2016.15.015

知识组织

关联书目数据质量评估框架构建与实证评估

  • 王振蒙 ,
  • 姜恩波
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  • 1. 中国科学院大学 北京 100049;
    2. 中国科学院成都文献情报中心 成都 610041
王振蒙(ORCID:0000-0003-4259-1972),硕士研究生,E-mail:wangzhenmeng@mail.las.ac.cn;姜恩波(ORCID:0000-0001-7890-9917),研究馆员,硕士

收稿日期: 2016-06-17

  修回日期: 2016-07-19

  网络出版日期: 2016-08-05

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Building and Empirical Assessment of Quality Assessment Framework of Linked Bibliographic Data

  • Wang Zhenmeng ,
  • Jiang Enbo
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  • 1. University of Chinese Academy of Sciences, Beijing 100049;
    2. Chengdu Documentation and Information Center, CAS, Chengdu 610041

Received date: 2016-06-17

  Revised date: 2016-07-19

  Online published: 2016-08-05

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摘要

[目的/意义] 分析和评估国家图书馆发布的关联数据集，以了解典型国家级资源的数据质量状况，为其他图书馆的数据发布和应用集成提供借鉴。[方法/过程] 在现有质量评估指标体系的基础上构建针对关联书目数据的质量评估框架和指标，通过人工调研和自动统计、分析方法对关联数据集的RDF词汇、URI有效性等7个指标进行统计和分析。[结果/结论] 5个国家图书馆发布的图书关联数据集在RDF词汇、著录项描述、信息关联等3方面显示出较为明显的一致性，在语法检测及URI的有效性检测等方面显示出国家图书馆数据的高质量。

关键词： 关联数据; 质量评估; 书目数据; 评估框架

本文引用格式

王振蒙 , 姜恩波 . 关联书目数据质量评估框架构建与实证评估[J]. 图书情报工作, 2016 , 60(15) : 108 -115 . DOI: 10.13266/j.issn.0252-3116.2016.15.015

Abstract

[Purpose/significance] This paper aims at analyzing and evaluating datasets published by the national libraries to reveal the data quality of national resources, and gaining the evaluation results to provide valuable reference for data-publishing and data-integrating of other libraries.[Method/process] Based on the existing quality assessment index system, this paper establishes a new quality assessment framework with indicators for the linked bibliographic data. Then it makes a statistical analysis on seven assessment-indicators, such as RDF schema and effectiveness of URL, from aspects of artificial investigation, automatic evaluation and analysis method.[Result/conclusion] The results find that linked bibliographic datasets issued by five national libraries have consistency with each other in RDF schema, entries description and information linking. And they have well performance in grammar evaluation and URI available-detection.

Key words： linked data; quality assessment; bibliographic data; assessment framework

参考文献

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