Semantic annotation in collaborative document transcription: a gamified citizen science approach

Autores
Bracco, Christian Ezequiel; Cuevas, Lucas Ezequiel; Torres, Diego
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Human or manual transcription is the task in which a person reads a handwritten document and writes in a digital environment the text they are reading. The manual transcription task is a long and timeconsuming process for one person. However, the intelligence of the transcriber is provided with better results than automatic alternatives. This article introduces a collaborative transcription platform called Transcriptor, in which the community members can upload digitized manuscripts and collaborate in transcribing them, defining different transcription layers which will be represented using semantic web technologies and gamification techniques. The article provides two experimentation that shows that Transcriptor had a good acceptance and novelty.
Materia
Ciencias de la Computación e Información
Transcription
Citizen Science
Semantic Web
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12055
Acceder
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repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Semantic annotation in collaborative document transcription: a gamified citizen science approachBracco, Christian EzequielCuevas, Lucas EzequielTorres, DiegoCiencias de la Computación e InformaciónTranscriptionCitizen ScienceSemantic WebHuman or manual transcription is the task in which a person reads a handwritten document and writes in a digital environment the text they are reading. The manual transcription task is a long and timeconsuming process for one person. However, the intelligence of the transcriber is provided with better results than automatic alternatives. This article introduces a collaborative transcription platform called Transcriptor, in which the community members can upload digitized manuscripts and collaborate in transcribing them, defining different transcription layers which will be represented using semantic web technologies and gamification techniques. The article provides two experimentation that shows that Transcriptor had a good acceptance and novelty.2023-07-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/12055enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-34732-0_38info:eu-repo/semantics/altIdentifier/isbn/978-3-031-34732-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:54Zoai:digital.cic.gba.gob.ar:11746/12055Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:54.302CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Semantic annotation in collaborative document transcription: a gamified citizen science approach
title Semantic annotation in collaborative document transcription: a gamified citizen science approach
spellingShingle Semantic annotation in collaborative document transcription: a gamified citizen science approach
Bracco, Christian Ezequiel
Ciencias de la Computación e Información
Transcription
Citizen Science
Semantic Web
title_short Semantic annotation in collaborative document transcription: a gamified citizen science approach
title_full Semantic annotation in collaborative document transcription: a gamified citizen science approach
title_fullStr Semantic annotation in collaborative document transcription: a gamified citizen science approach
title_full_unstemmed Semantic annotation in collaborative document transcription: a gamified citizen science approach
title_sort Semantic annotation in collaborative document transcription: a gamified citizen science approach
dc.creator.none.fl_str_mv Bracco, Christian Ezequiel
Cuevas, Lucas Ezequiel
Torres, Diego
author Bracco, Christian Ezequiel
author_facet Bracco, Christian Ezequiel
Cuevas, Lucas Ezequiel
Torres, Diego
author_role author
author2 Cuevas, Lucas Ezequiel
Torres, Diego
author2_role author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Transcription
Citizen Science
Semantic Web
topic Ciencias de la Computación e Información
Transcription
Citizen Science
Semantic Web
dc.description.none.fl_txt_mv Human or manual transcription is the task in which a person reads a handwritten document and writes in a digital environment the text they are reading. The manual transcription task is a long and timeconsuming process for one person. However, the intelligence of the transcriber is provided with better results than automatic alternatives. This article introduces a collaborative transcription platform called Transcriptor, in which the community members can upload digitized manuscripts and collaborate in transcribing them, defining different transcription layers which will be represented using semantic web technologies and gamification techniques. The article provides two experimentation that shows that Transcriptor had a good acceptance and novelty.
description Human or manual transcription is the task in which a person reads a handwritten document and writes in a digital environment the text they are reading. The manual transcription task is a long and timeconsuming process for one person. However, the intelligence of the transcriber is provided with better results than automatic alternatives. This article introduces a collaborative transcription platform called Transcriptor, in which the community members can upload digitized manuscripts and collaborate in transcribing them, defining different transcription layers which will be represented using semantic web technologies and gamification techniques. The article provides two experimentation that shows that Transcriptor had a good acceptance and novelty.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-34732-0_38
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-34732-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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