Abstract

The need for reusable, interoperable, and interlinked linguistic resources in Natural Language Processing downstream tasks has been proved by the increasing efforts to develop standards and metadata suitable to represent several layers of information. Nevertheless, despite these efforts, the achievement of full compatibility for metadata in linguistic resource production is still far from being reached. Access to resources observing these standards is hindered either by (i) lack of or incomplete information, (ii) inconsistent ways of coding their metadata, and (iii) lack of maintenance. In this paper, we offer a quantitative and qualitative analysis of descriptive metadata and resources availability of two main metadata repositories: LOD Cloud and Annohub. Furthermore, we introduce a metadata enrichment, which aims at improving resource information, and a metadata alignment to META-SHARE ontology, suitable for easing the accessibility and interoperability of such resources.

中文翻译：

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为丰富的语言关联数据元数据铺平道路

摘要

自然语言处理下游任务中对可重用、可互操作和相互关联的语言资源的需求已通过越来越多的努力来开发适合表示多个信息层的标准和元数据来证明。尽管如此，尽管做出了这些努力，但在语言资源生产中实现元数据的完全兼容还很遥远。(i) 缺乏或不完整的信息，(ii) 编码元数据的方式不一致，以及 (iii) 缺乏维护，阻碍了对遵守这些标准的资源的访问。在本文中，我们对两个主要元数据存储库（LOD Cloud 和 Annohub）的描述性元数据和资源可用性进行了定量和定性分析。此外，我们引入了元数据丰富，