Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/111808
DC Field | Value | Language |
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dc.contributor.author | Souza, null | - |
dc.contributor.author | Dorn, null | - |
dc.contributor.author | Piringer, null | - |
dc.contributor.author | Wandl-Vogt, null | - |
dc.date.accessioned | 2024-01-10T20:24:27Z | - |
dc.date.available | 2024-01-10T20:24:27Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2227-9709 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/111808 | - |
dc.description.abstract | Different types of uncertainties occur in almost all datasets and are an inherent property of data across different academic disciplines, including digital humanities (DH). In this paper, we address, demonstrate and analyse spatio-temporal uncertainties in a non-standard German legacy dataset in a DH context. Although the data collection is primarily a linguistic resource, it contains a wealth of additional, comprehensive information, such as location and temporal detail. The addressed uncertainties have manifested because of a variety of reasons, and partly also because of decades of data transformation processes. We here propose our own taxonomy for capturing and classifying the various uncertainties, and show with numerous examples how the remedying but also re-introduction of uncertainties affects DH practices. | pt |
dc.description.sponsorship | This research was partially funded by the Nationalstiftung of the Austrian Academy of Sciences under the funding scheme Digitales kulturelles Erbe, grant number DH2014/22, as part of the exploreAT! project, carried out in collaboration with the VisUSAL Group, Universidad de Salamanca, Spain, and the ADAPT Centre for Digital Content Technology at Dublin City University, Ireland, which is funded under the Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund. This research was also partially funded by the PROVIDEDH project, funded within the CHIST-ERA programme under the national grant agreement PCIN-2017-064 (MINECO, Spain) in the context of which the Austrian Centre for Digital Humanities as a project partner is granted by the national grant agreement FWF (Project number I 3441-N33). | pt |
dc.language.iso | eng | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | digital humanities | pt |
dc.subject | uncertainty | pt |
dc.subject | indigenous languages | pt |
dc.subject | spatial uncertainty | pt |
dc.subject | temporal uncertainty | pt |
dc.subject | lexical data uncertainty | pt |
dc.title | Towards A Taxonomy of Uncertainties: Analysing Sources of Spatio-Temporal Uncertainty on the Example of Non-Standard German Corpora | pt |
dc.type | article | - |
degois.publication.firstPage | 34 | pt |
degois.publication.issue | 3 | pt |
degois.publication.title | Informatics | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.3390/informatics6030034 | pt |
degois.publication.volume | 6 | pt |
dc.date.embargo | 2019-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
Appears in Collections: | I&D CEIS20 - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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informatics-06-00034-v2.pdf | 20.44 MB | Adobe PDF | View/Open |
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This item is licensed under a Creative Commons License