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.
When linguistics meets web technologies. Recent advances in modelling linguistic linked data
Anas Fahad KhanPrimo
;
2022
Abstract
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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.ancejournal | SEMANTIC WEB (ONLINE) | en |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Anas Fahad Khan | en |
| dc.authority.people | Christian Chiarcos | en |
| dc.authority.people | Thierry Declerck | en |
| dc.authority.people | Daniela Gifu | en |
| dc.authority.people | Elena González-Blanco García | en |
| dc.authority.people | Jorge Gracia | en |
| dc.authority.people | Maxim Ionov | en |
| dc.authority.people | Penny Labropoulou | en |
| dc.authority.people | Francesco Mambrini | en |
| dc.authority.people | John P. McCrae | en |
| dc.authority.people | Émilie Pagé-Perron | en |
| dc.authority.people | Marco Passarotti | en |
| dc.authority.people | Salvador Ros Muñoz | en |
| dc.authority.people | Ciprian-Octavian Truic | en |
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| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.contributor.area | Non assegn | * |
| dc.date.accessioned | 2024/02/20 20:52:48 | - |
| dc.date.available | 2024/02/20 20:52:48 | - |
| dc.date.firstsubmission | 2025/01/22 22:30:47 | * |
| dc.date.issued | 2022 | - |
| dc.date.submission | 2025/03/05 16:29:48 | * |
| dc.description.abstracteng | 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. | - |
| dc.description.affiliations | Istituto di Linguistica Computazionale < |
- |
| dc.description.allpeople | Khan, ANAS FAHAD ASLAM; Chiarcos, Christian; Declerck, Thierry; Gifu, Daniela; González-Blanco García, Elena; Gracia, Jorge; Ionov, Maxim; Labropoulou, Penny; Mambrini, Francesco; Mccrae, John P.; Pagé-Perron, Émilie; Passarotti, Marco; Ros Muñoz, Salvador; Truic, Ciprian-Octavian | - |
| dc.description.allpeopleoriginal | Anas Fahad Khan, Christian Chiarcos, Thierry Declerck, Daniela Gifu, Elena González-Blanco García, Jorge Gracia, Maxim Ionov, Penny Labropoulou, Francesco Mambrini, John P. McCrae, Émilie Pagé-Perron, Marco Passarotti, Salvador Ros Muñoz, Ciprian-Octavian Truic | en |
| dc.description.fulltext | open | en |
| dc.description.numberofauthors | 14 | - |
| dc.identifier.doi | 10.3233/SW-222859 | en |
| dc.identifier.isi | WOS:000862910800005 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/444090 | - |
| dc.language.iso | eng | en |
| dc.subject.keywords | Linguistic linked data | - |
| dc.subject.keywords | FAIR | - |
| dc.subject.keywords | corpora | - |
| dc.subject.keywords | annotation | - |
| dc.subject.keywords | language resources | - |
| dc.subject.keywords | OntoLex-Lemon | - |
| dc.subject.keywords | Digital Humanities | - |
| dc.subject.keywords | metadata | - |
| dc.subject.keywords | models | - |
| dc.subject.keywords | lexicon | - |
| dc.subject.keywords | language identification | - |
| dc.subject.singlekeyword | Linguistic linked data | * |
| dc.subject.singlekeyword | FAIR | * |
| dc.subject.singlekeyword | corpora | * |
| dc.subject.singlekeyword | annotation | * |
| dc.subject.singlekeyword | language resources | * |
| dc.subject.singlekeyword | OntoLex-Lemon | * |
| dc.subject.singlekeyword | Digital Humanities | * |
| dc.subject.singlekeyword | metadata | * |
| dc.subject.singlekeyword | models | * |
| dc.subject.singlekeyword | lexicon | * |
| dc.subject.singlekeyword | language identification | * |
| dc.title | When linguistics meets web technologies. Recent advances in modelling linguistic linked data | en |
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| isi.contributor.affiliation | Consiglio Nazionale delle Ricerche (CNR) | - |
| isi.contributor.affiliation | Goethe University Frankfurt | - |
| isi.contributor.affiliation | German Research Center for Artificial Intelligence (DFKI) | - |
| isi.contributor.affiliation | Alexandru Ioan Cuza University | - |
| isi.contributor.affiliation | IE University | - |
| isi.contributor.affiliation | University of Zaragoza | - |
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| isi.contributor.name | Anas Fahad | - |
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| isi.contributor.subaffiliation | Ist Linguist Computaz A Zampolli | - |
| isi.contributor.subaffiliation | Appl Computat Linguist Lab | - |
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| isi.contributor.surname | Khan | - |
| isi.contributor.surname | Chiarcos | - |
| isi.contributor.surname | Declerck | - |
| isi.contributor.surname | Gifu | - |
| isi.contributor.surname | Gonzalez-Blanco Garcia | - |
| isi.contributor.surname | Gracia | - |
| isi.contributor.surname | Ionov | - |
| isi.contributor.surname | Labropoulou | - |
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| isi.contributor.surname | Ros Munoz | - |
| isi.contributor.surname | Truica | - |
| isi.date.issued | 2022 | * |
| isi.description.abstracteng | 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. | * |
| isi.description.allpeopleoriginal | Khan, AF; Chiarcos, C; Declerck, T; Gifu, D; Garcia, EGB; Gracia, J; Ionov, M; Labropoulou, P; Mambrini, F; McCrae, JP; Pagé-Perron, É; Passarotti, M; Munoz, SR; Truica, CO; | * |
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| isi.identifier.eissn | 2210-4968 | * |
| isi.identifier.isi | WOS:000862910800005 | * |
| isi.journal.journaltitle | SEMANTIC WEB | * |
| isi.journal.journaltitleabbrev | SEMANT WEB | * |
| isi.language.original | English | * |
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| isi.relation.volume | 13 | * |
| isi.title | When linguistics meets web technologies. Recent advances in modelling linguistic linked data | * |
| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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