Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review
Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review
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语义网中的知识组织系统（KOS）：多维回顾
DOI：
10.1007/s00799-018-0241-2
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发表时间：
2018
影响因子：
1.5
通讯作者：
Philipp Mayr
中科院分区：
文献类型：
--
作者：
M. Zeng;Philipp Mayr
自从简单知识组织系统 (SKOS) 规范及其标签的 SKOS 扩展 (SKOS-XL) 于 2009 年成为 W3C 正式推荐标准以来，大量传统知识组织系统 (KOS)（包括同义词库、分类方案、名称权威以及在本体浪潮到来之前产生的代码和术语列表）已经开始加入语义 Web 主流。本文使用“LOD KOS”作为总括术语来指代语义 Web 框架内的所有价值词汇和轻量级本体。本文概述了 LOD KOS 运动给各个社区和用户带来的好处。这些不仅限于价值词汇构建者和提供者的群体，也不限于具有将词汇应用到其产品的悠久历史的编目者和索引者。 LOD数据集生产者和LOD服务提供商、信息架构师和界面设计师以及科学和人文学科的研究人员也是LOD KOS的直接受益者。本文研究了一组收集的案例（实验或实际应用），旨在找到 LOD KOS 的用法，以便在社区和用户之间分享实践和想法。通过多个不同用户群体的视角，从多个维度审视LOD KOS的功能。本文重点关注 LOD 数据集生成者、词汇生成者和研究人员（作为 KOS 的最终用户）。
Since the Simple Knowledge Organization System (SKOS) specification and its SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009, a significant number of conventional Knowledge Organization Systems (KOS) (including thesauri, classification schemes, name authorities, and lists of codes and terms, produced before the arrival of the ontology-wave) have made their journeys to join the Semantic Web mainstream. This paper uses “LOD KOS” as an umbrella term to refer to all of the value vocabularies and lightweight ontologies within the Semantic Web framework. The paper provides an overview of what the LOD KOS movement has brought to various communities and users. These are not limited to the colonies of the value vocabulary constructors and providers, nor the catalogers and indexers who have a long history of applying the vocabularies to their products. The LOD dataset producers and LOD service providers, the information architects and interface designers, and researchers in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper examines a set of the collected cases (experimental or in real applications) and aims to find the usages of LOD KOS in order to share the practices and ideas among communities and users. Through the viewpoints of a number of different user groups, the functions of LOD KOS are examined from multiple dimensions. This paper focuses on the LOD dataset producers, vocabulary producers, and researchers (as end-users of KOS).