图书情报工作 ›› 2017, Vol. 61 ›› Issue (19): 13-21.DOI: 10.13266/j.issn.0252-3116.2017.19.002

• 专题:图书馆资源组织的关联数据化研究 • 上一篇    下一篇

基于D2R发布学者关联数据集探究——以图书情报领域为例

牛永骎1, 常娥1,2   

  1. 1. 东南大学经济管理学院 南京 211189;
    2. 东南大学图书馆 南京 210096
  • 收稿日期:2017-06-20 修回日期:2017-08-18 出版日期:2017-10-05 发布日期:2017-10-05
  • 通讯作者: 常娥(ORCID:0000-0001-6865-2118),副研究馆员,博士,硕士生导师,通讯作者,E-mail:chang_e@seu.edu.cn。
  • 作者简介:牛永骎(ORCID:0000-0002-8790-7072),硕士研究生
  • 基金资助:
    本文系国家社会科学基金项目"图书馆资源组织中的数据关联机制研究"(项目编号:14CTQ005)研究成果之一。

Research on Publishing Scholar Repository Linked Data Based on D2R

Niu Yongqin1, Chang E1,2   

  1. 1. School of Economics & Management, Southeast University, Nanjing 211189;
    2. Southeast University Library, Nanjing 210096
  • Received:2017-06-20 Revised:2017-08-18 Online:2017-10-05 Published:2017-10-05

摘要: [目的/意义]探讨学者关联数据集的定位及其构建方法,以期为学科发展、学者评价与信息共享利用提供便利。[方法/过程]在阐释现有机构知识库内涵基础上,分析学者关联数据集之功能特点,并以我国图书情报领域为例,通过开源软件D2R发布该领域学者的关联数据集。[结果/结论]学者关联数据集不同于机构知识库,它以所属学科领域的学者为数据起点,以网罗一切相关信息资源,并以完全开放、关联与共享的方式提供知识。在学者关联数据集的构建与发布过程中,重点需克服实体URI定义、作者重名、专著与网络学术记录难以采全等问题。

关键词: 学者关联数据集, 机构知识库, D2R

Abstract: [Purpose/significance] This paper discusses the positioning and construction methods of the scholar repository linked data, with a view to facilitating the development of subjects, evaluation of scholars and information sharing and utilization.[Method/process] On the basis of explaining the knowledge of the existing institutions repository, analyzing the functional characteristics of the linked dataset of scholars, and taking the field of library and information as an example, this article will publish the linked dataset of scholars in this field by D2R.[Result/conclusion]The scholar linked dataset differs from the institution repository, starting from the scholars in the subject field, in order to recruit all the relevant information resources, and provides the knowledge in a completely open, correlated and shared way. In the process of building and releasing the data set, the emphasis needs to be overcome by the definition of entity's URI, the author's duplicate, monograph and the academic records of network is difficult to adopt.

Key words: scholar linked dataset, institutional repository, D2R

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