Linguistic Linked Data in Digital Humanities

Cimiano, Philipp; Chiarcos, Christian; McCrae, John P.; Gracia, Jorge

doi:10.1007/978-3-030-30225-2_13

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…In the context of web technologies, the most widely adopted solution to the issue of how to perform this linking is the application of the Resource Description Framework (RDF) [66] and Linked Data [12]. Cimiano et al [57] present the semantics of the RDF model, which was created in late 1990s, to represent linked data and knowledge in a machine-readable manner, and its most common formats for serialisation, N-Triples, Turtle, XML and JSON-LD, which enable publishing RDF data on the Web. The authors also give an overview of the Web Ontology Language (OWL) and SPARQL, the standard language for querying RDF data.…”

Section: Linking Data To Languagementioning

confidence: 99%

Multilinguality and LLOD: A survey across linguistic description levels

Gromann,

Apostol,

Chiarcos

et al. 2024

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Limited accessibility to language resources and technologies represents a challenge for the analysis, preservation, and documentation of natural languages other than English. Linguistic Linked (Open) Data (LLOD) holds the promise to ease the creation, linking, and reuse of multilingual linguistic data across distributed and heterogeneous resources. However, individual language resources and technologies accommodate or target different linguistic description levels, e.g., morphology, syntax, phonology, and pragmatics. In this comprehensive survey, the state-of-the-art of multilinguality and LLOD is being represented with a particular focus on linguistic description levels, identifying open challenges and gaps as well as proposing an ideal ecosystem for multilingual LLOD across description levels. This survey seeks to contribute an introductory text for newcomers to the field of multilingual LLOD, uncover gaps and challenges to be tackled by the LLOD community in reference to linguistic description levels, and present a solid basis for a future best practice of multilingual LLOD across description levels.

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Section: Linking Data To Languagementioning

confidence: 99%

Multilinguality and LLOD: A survey across linguistic description levels

Gromann,

Apostol,

Chiarcos

et al. 2024

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“…Recent work accounts for more specialised tools, from the third category, such as converters, making, for instance, linked data in RDF format out of CSV files (CoW 21 and cattle 22 [123]) or directly converting language resources into LL(O)D (LLODifier 23 [33]). As already pointed out at the beginning of this section, the field may benefit from further exchanges among scholars in different areas of studies such as theoretical and cognitive linguistics, history and philosophy of language, digital humanities, NLP and Semantic Web.…”

Section: Generating Linked Datamentioning

confidence: 99%

“…Learning diachronic constructs Ontologies [16,76] Timelines [152] Concept signatures [69] Learning ontologies and producing linked data OntoGain [45] CRCTOL [85] TextToOnto [35] Extracting information and linking entities LODifier [9] Converting to linked data formats CoW, cattle [123] LLODifier [33] C…”

Section: Approachesmentioning

confidence: 99%

LL(O)D and NLP perspectives on semantic change for humanities research

Armaselu

Apostol

Khan

et al. 2022

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This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper’s aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, CA18209. The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.

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“…Currently there are two primary RDF vocabularies which are being widely used for annotating texts. These are NLP Interchange Format (NIF), 36 used mostly in the language technology sector and Web Annotation, 37 formerly known as Open Annotation (abbreviated here as OA), used in digital humanities, life sciences and bioinformatics. Each vocabulary has its own particular advantages and shortcomings, and a number of proposals to extend them have been proposed.…”

Section: Vocabularies and Models For Corpora And Linguistic Annotationsmentioning

confidence: 99%

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

Khan

Chiarcos

Declerck

et al. 2022

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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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Linguistic Linked Data in Digital Humanities

Cited by 6 publications

References 16 publications

Multilinguality and LLOD: A survey across linguistic description levels

Multilinguality and LLOD: A survey across linguistic description levels

LL(O)D and NLP perspectives on semantic change for humanities research

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

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