论文标题
以链接数据发布知识组织系统:通用十进制分类的情况
Publishing a Knowledge Organization System as Linked Data: The Case of the Universal Decimal Classification
论文作者
论文摘要
链接的数据(LD)技术被誉为基于Web的信息交换中期待已久的解决方案。链接的开放数据(LOD)通过启用有意义的资源链接并创建全局,公开访问的知识图来将其提升到另一个层次。我们的案例是通用小数分类(UDC),以及KOS服务提供商维护LD服务的挑战。 UDC是在1896--1904期间创建的,以支持参考书目的系统组织和信息检索。在讨论UDC作为LD时,我们会区分两种类型的UDC数据或两种证明:UDC源数据和UDC代码出现在元数据中。为了实现提供语义的目的,一个人必须使用可以解析和解释复杂的UDC字符串的服务。虽然UDC的使用免费使用,但UDC数据的发布和分发受许可保护。必须在复杂的服务中提供UDC作为LD和LOD的发布,该服务将允许开放访问以及通过付费墙障碍访问不同级别的许可证。 “ 10things指南”告知了发布UDC作为LOD的实际任务。该过程包括概念部分和技术部分。向新技术的过渡绝不是纯粹的机械行为,而是本身就是一项研究努力。 UDC案例显示了跨域,跨学科的合作的重要性,该协作需要在多个知识领域中良好的专家。
Linked data (LD) technology is hailed as a long-awaited solution in web-based information exchange. Linked Open Data (LOD) bring this to another level by enabling meaningful linking of resources and creating a global, openly accessible knowledge graph. Our case is the Universal Decimal Classification (UDC) and the challenges for a KOS service provider to maintain an LD service. UDC was created during the period 1896--1904 to support systematic organization and information retrieval of a bibliography. When discussing UDC as LD we make a distinction between two types of UDC data or two provenances: UDC source data, and UDC codes as they appear in metadata. To serve the purpose of supplying semantics one has to front--end UDC LD with a service that can parse and interpret complex UDC strings. While the use of UDC is free the publishing and distributing of UDC data is protected by a licence. Publishing of UDC both as LD and as LOD must be provided for within a complex service that would allow open access as well as access through a paywall barrier for different levels of licences. The practical task of publishing the UDC as LOD was informed by the '10Things guidelines'. The process includes conceptual parts and technological parts. The transition to a new technology is never a purely mechanical act but is a research endeavour in its own right. The UDC case has shown the importance of cross-domain, inter-disciplinary collaboration which needs experts well situated in multiple knowledge domains.