当语言学遇到网络技术。语言关联数据建模的最新进展

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

Semantic Web Pub Date : 2022-06-15 DOI:10.3233/sw-222859

Anas Fahad Khan, C. Chiarcos, T. Declerck, Daniela Gîfu, Elena González-Blanco García, J. Gracia, Maxim Ionov, Penny Labropoulou, Francesco Mambrini, John P. McCrae, Émilie Pagé-Perron, M. Passarotti, Salvador Ros Muñoz, Ciprian-Octavian Truică

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引用次数: 9

摘要

本文提供了用于创建语言关联数据(LLD)的模型和词汇表的全面和最新调查，重点关注该领域的最新发展，并建立和补充了涵盖类似领域的先前工作。本文首先概述了对关联数据模型和词汇表产生重大影响的一些最新趋势。接下来，我们对不同类别的LLD资源的现有词汇表和模型进行了总体概述。之后，我们将介绍一些社区标准和项目的最新进展，包括对OntoLex-Lemon模型的最新工作的描述，对语言注释和LLD的最新项目的调查，以及对LLD元数据词汇META-SHARE和lime的讨论。在本文的下一部分，我们将重点关注项目对LLD模型和词汇表的影响，从对相关项目的总体调查开始，然后用个别部分介绍一些最近的项目及其对LLD词汇表和模型的影响。最后，在结论部分，我们展望了LLD模型和词汇表未来面临的一些挑战。论文的附录是对OntoLex-Lemon模型的简要介绍。

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When linguistics meets web technologies. Recent advances in modelling linguistic linked data

This article provides a comprehensive and up-to-date survey of models and vocabularies for creating linguistic linked data (LLD) focusing on the latest developments in the area and both building upon and complementing previous works covering similar territory. The article begins with an overview of some recent trends which have had a significant impact on linked data models and vocabularies. Next, we give a general overview of existing vocabularies and models for different categories of LLD resource. After which we look at some of the latest developments in community standards and initiatives including descriptions of recent work on the OntoLex-Lemon model, a survey of recent initiatives in linguistic annotation and LLD, and a discussion of the LLD metadata vocabularies META-SHARE and lime. In the next part of the paper, we focus on the influence of projects on LLD models and vocabularies, starting with a general survey of relevant projects, before dedicating individual sections to a number of recent projects and their impact on LLD vocabularies and models. Finally, in the conclusion, we look ahead at some future challenges for LLD models and vocabularies. The appendix to the paper consists of a brief introduction to the OntoLex-Lemon model.

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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.