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

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2023-09-27T12:47:28Z
dc.date.available2023-09-27T12:47:28Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12055
dc.titleSemantic annotation in collaborative document transcription: a gamified citizen science approachen
dc.typeDocumento de conferencia
dcterms.abstractHuman 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.en
dcterms.creator.authorBracco, Christian Ezequiel
dcterms.creator.authorCuevas, Lucas Ezequiel
dcterms.creator.authorTorres, Diego
dcterms.extent491-508
dcterms.identifier.otherDOI: 10.1007/978-3-031-34732-0_38
dcterms.identifier.otherISBN: 978-3-031-34732-0
dcterms.isPartOf.itemCulture and Computing
dcterms.isPartOf.series11th International Conference, C&C 2023, Held as Part of the 25th HCI International Conference, HCII 2023 (Copenhagen, Denmark, July 23–28, 2023)
dcterms.issued2023-07-09
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectTranscriptionen
dcterms.subjectCitizen Scienceen
dcterms.subjectSemantic Weben
dcterms.subject.materiaCiencias de la Computación e Información

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