为语言关联数据的丰富元数据铺平了道路

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Semantic Web Pub Date : 2022-08-29 DOI:10.3233/sw-222994

Maria Pia di Buono, Hugo Gonçalo Oliveira, V. Mititelu, Blerina Spahiu, Gennaro Nolano

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引用次数: 2

摘要

在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经通过开发适合表示多层信息的标准和元数据的不断努力得到了证明。然而，尽管做出了这些努力，在语言资源生产中实现元数据的完全兼容仍远未达到。访问符合这些标准的资源受到以下因素的阻碍:(i)缺乏或不完整的信息，(ii)对其元数据进行编码的方式不一致，以及(iii)缺乏维护。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，我们还引入了元数据丰富，旨在改善资源信息，以及元数据与META-SHARE本体的对齐，适合于简化这些资源的可访问性和互操作性。

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Paving the way for enriched metadata of linguistic linked data

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.

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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.