Weaving words for textile museums: the development of the linked SILKNOW thesaurus

The cultural heritage domain in general and silk textiles, in particular, are characterized by large, rich and heterogeneous data sets. Silk heritage vocabulary comes from multiple sources that have been mixed up across time and space. This has led to the use of different terminology in specialized...

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Autores principales: Alba, Ester, Gaitán, Mar, León, Arabella, Mladenić, Dunia, Brank, Janez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086141/
https://www.ncbi.nlm.nih.gov/pubmed/35571993
http://dx.doi.org/10.1186/s40494-022-00681-x
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author Alba, Ester
Gaitán, Mar
León, Arabella
Mladenić, Dunia
Brank, Janez
author_facet Alba, Ester
Gaitán, Mar
León, Arabella
Mladenić, Dunia
Brank, Janez
author_sort Alba, Ester
collection PubMed
description The cultural heritage domain in general and silk textiles, in particular, are characterized by large, rich and heterogeneous data sets. Silk heritage vocabulary comes from multiple sources that have been mixed up across time and space. This has led to the use of different terminology in specialized organizations in order to describe their artefacts. This makes data interoperability between independent catalogues very difficult. To address these issues, SILKNOW created a multilingual thesaurus related to silk textiles. It was carried out by experts in textile terminology and art historians and computationally implemented by experts in text mining, multi-/cross-linguality and semantic extraction from text. This paper presents the rationale behind the realization of this thesaurus.
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spelling pubmed-90861412022-05-10 Weaving words for textile museums: the development of the linked SILKNOW thesaurus Alba, Ester Gaitán, Mar León, Arabella Mladenić, Dunia Brank, Janez Herit Sci Research Article The cultural heritage domain in general and silk textiles, in particular, are characterized by large, rich and heterogeneous data sets. Silk heritage vocabulary comes from multiple sources that have been mixed up across time and space. This has led to the use of different terminology in specialized organizations in order to describe their artefacts. This makes data interoperability between independent catalogues very difficult. To address these issues, SILKNOW created a multilingual thesaurus related to silk textiles. It was carried out by experts in textile terminology and art historians and computationally implemented by experts in text mining, multi-/cross-linguality and semantic extraction from text. This paper presents the rationale behind the realization of this thesaurus. Springer International Publishing 2022-05-10 2022 /pmc/articles/PMC9086141/ /pubmed/35571993 http://dx.doi.org/10.1186/s40494-022-00681-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Alba, Ester
Gaitán, Mar
León, Arabella
Mladenić, Dunia
Brank, Janez
Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title_full Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title_fullStr Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title_full_unstemmed Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title_short Weaving words for textile museums: the development of the linked SILKNOW thesaurus
title_sort weaving words for textile museums: the development of the linked silknow thesaurus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086141/
https://www.ncbi.nlm.nih.gov/pubmed/35571993
http://dx.doi.org/10.1186/s40494-022-00681-x
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