传统知识组织系统的关联数据化发展

The Development of Linked Data of Traditional Knowledge Organization System

以受控词表为核心的传统知识组织系统在资源描述与表示中发挥着重要作用。本文在对大量研究文献调查研究的基础上,概述国内外知识组织系统的关联数据化发展研究情况,并通过对相关研究内容的总结提炼,明确传统知识组织系统语义化、关联化的实施需经过SKOS模型化、RDF序列化和关联数据发布3个主要步骤,并对各部分进行详细描述,以期为其他传统知识组织系统实现关联数据化提供参考。此外,本文总结了传统知识系统关联化应用主要体现在提高受控词表的访问量、有效地实现对数据集的描述表示,以及促进数据集成实现。

The traditional knowledge organization system with controlled word list as the core plays an important role in the description and presentation of resources.This article through to a large number of research literature on the basis of investigation and research,summarizes the domestic and foreign correlation digital development related research of knowledge organization system,and through summarizing the content of the related research,puts forward the traditional semantic relevance knowledge organization system implementation steps,and clear the traditional knowledge organization systems association takes SKOS model,RDF serialization and associated data released three main steps,and carries on the detailed description of the parts,so as to provide reference for other related traditional knowledge organization system digital.The paper summarizes that the application of traditional knowledge system association is mainly reflected in improving the page view of the controlled word list,effectively realizing the description and representation of the data set,and promoting the realization of data integration.