基于关联数据的机构知识库联盟构建研究

  • 陈和
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  • 厦门大学图书馆

网络出版日期: 2025-04-28

Research on Building Confederation of Institutional Repository based on Linked Data

  • Chen He
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  • Xiamen University Library

Online published: 2025-04-28

摘要

[目的/意义] 探讨采用语义网的方法实现区别于传统的构建机构知识库联盟的方法。[方法/过程] 把现有的机构知识库内容发布为关联数据,并在此基础上采用语义网的方法构建基于关联数据的机构知识库联盟。[结果/结论] 基于关联数据的机构知识库联盟可以实现资源浏览、检索等基本的功能,同时也可以采用语义扩展、语义推理等方法实现传统联盟无法实现的知识服务功能。构建基于关联数据的机构知识库联盟是语义网的一个具体实践,可以提供比传统联盟更多更好的功能服务,而且构建的成本投入少,见效快。

本文引用格式

陈和 . 基于关联数据的机构知识库联盟构建研究[J]. 知识管理论坛, 2017 , 2(1) : 2 -8 . DOI: 10.13266/j.issn.2095-5472.2017.002

Abstract

[Purpose/significance]This paper aims to explore the method of using semantic web to build confederation of institutional repository which is different from the traditional way. [Method/process] It publishes the institutional repository content as linked data firstly, and uses the method of the semantic web to build confederation of institutional repository. [Result/conclusion] The confederation of institutional repository based on linked data can realize the basic functions such as browsing and retrieving. At the same time, the confederation can realize knowledge service function by extending semantic content and semantic reasoning. Building confederation of institutional repository based on linked data is a specific practice of semantic web, the confederation can provide more and better functional services than the traditional confederation, and the construction cost is low.
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