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Terme-a-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data

机译:Terme-a-LLOD:简化了作为链接数据的术语资源的转换和托管

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In recent years, there has been increasing interest in publishing lexicographic and terminological resources as linked data. The benefit of using linked data technologies to publish terminologies is that terminologies can be linked to each other, thus creating a cloud of linked terminologies that cross domains, languages and that support advanced applications that do not work with single terminologies but can exploit multiple terminologies seamlessly. We present Terme-a-LLOD (TAL), a new paradigm for transforming and publishing terminologies as linked data which relies on a virtualization approach. The approach rests on a preconfigured virtual image of a server that can be downloaded and installed. We describe our approach to simplifying the transformation and hosting of terminological resources in the remainder of this paper. We provide a proof-of-concept for this paradigm showing how to apply it to the conversion of the well-known IATE terminology as well as to various smaller terminologies. Further, we discuss how the implementation of our paradigm can be integrated into existing NLP service infrastructures that rely on virtualization technology. While we apply this paradigm to the transformation and hosting of terminologies as linked data, the paradigm can be applied to any other resource format as well.
机译:近年来,人们越来越关注将词典词典和术语资源作为链接数据进行发布。使用链接数据技术发布术语的好处是,术语可以相互链接,从而创建了一个链接的术语云,这些术语跨域,语言并且支持不能使用单个术语但可以无缝利用多个术语的高级应用程序。我们提出了Terme-a-LLOD(TAL),这是一种将术语转换和发布为依赖于虚拟化方法的链接数据的新范例。该方法基于可以下载和安装的服务器的预配置虚拟映像。在本文的其余部分中,我们将描述简化术语资源转换和托管的方法。我们提供了此范式的概念证明,展示了如何将其应用于众所周知的IATE术语以及各种较小的术语的转换。此外,我们讨论了如何将范式的实现集成到依赖虚拟化技术的现有NLP服务基础架构中。尽管我们将此范式应用于链接数据的术语转换和托管,但该范式也可以应用于任何其他资源格式。

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