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首页> 外文会议>Proceedings of the 77th ASISamp;T annual meeting, Connecting collections, cultures, and communities >Panel: Knowledge Organization Systems (KOS) as Linked Data Services
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Panel: Knowledge Organization Systems (KOS) as Linked Data Services

机译：小组讨论：知识组织系统（KOS）作为链接数据服务

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摘要

Knowledge organization systems (KOS) are the keyrnelements for interlinking the values of Linked Datarndatasets. Existing KOS products (including well-knownrnthesauri and classification systems) need to be transformedrninto the constructs of Linked Data services, much morernbeyond what a traditional thesaurus or classificationrnwere/are developed, but how? What can these Linked DatarnKOS bring to various information services? The panelistsrnwill share their experiences and lessons learned. Thernpresentation starts from the processes that have beenrndeveloped to build, maintain, and publish a newly derivedrntaxonomy using W3C SKOS standard, to make it extensiblernand scalable to support new information services inrnscholarly publishing workflow. The next presentation willrnshare experiences and lessons learned from thernimplementation of a platform built for publishing andrndistribution of multiple KOS and for automatic indexingrnusing these KOS. The third case is a Linked Datarnbibliographic service, a RDF-aware system and a mash uprnapplication which relies on the use of a multilingualrnthesaurus that has been published and maintained as arnLinked Data dataset, and has been mapped to more than tenrnKOS. For the datasets that have not used standardized KOS,the panel will present methods that can be applied whenrngenerating or deriving project-focused micro-thesauri fromrnthe Linked Data KOS and give an overview of the use casesrnof Linked Data KOS in information services.
机译：知识组织系统（KOS）是用于链接链接的数据集的值的关键要素。需要将现有的KOS产品（包括著名的叙词表和分类系统）转换为链接数据服务的结构，这远远超出了开发传统词库或分类的范围，但是如何呢？这些Linked DatarnKOS可以为各种信息服务带来什么？小组成员将分享他们的经验和教训。这种表示法是从使用W3C SKOS标准开发，构建，维护和发布新派生的分类法的过程开始的，以使其具有可扩展性和可扩展性，以支持不受欢迎的发布工作流的新信息服务。下一个演讲将分享从实现一个平台发布和分发多个KOS以及使用这些KOS进行自动索引构建的平台中学到的经验和教训。第三种情况是链接数据书目服务，支持RDF的系统和mash up应用程序，该应用程序依赖于已使用arnLinked Data数据集发布并维护的多语言同义词库的使用，并已映射到多个tennKOS。对于尚未使用标准化KOS的数据集，小组将介绍在从Linked Data KOS生成或派生以项目为中心的微型叙词表时可以应用的方法，并概述信息服务中Linked Data KOS的用例。

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