Effective annotation for the automatic vectorization of cadastral maps.
The great potential brought by large-scale data in the humanities is still hindered by the time and technicality required for making documents digitally intelligible. Within urban studies, historical cadasters have been hitherto largely under-explored despite their informative value. Powerful and ge...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 3; pp. 1227 - 1238 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=171389417&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171389417 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2023 vid: 38 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 171389417 10.1093/llc/fqad006 ppf: 1227 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.6MB tig: atl: Effective annotation for the automatic vectorization of cadastral maps. aug: au: Petitpierre, Remi Guhennec, Paul affil: Institute for Area and Global Studies, EPFL , Lausanne, Switzerland Digital Humanities Laboratory, EPFL , Lausanne, Switzerland su: Cadastral maps Historical maps Cadastres Annotations Urban studies Technology transfer sug: subj: Cadastral maps Historical maps Cadastres Annotations Urban studies Technology transfer ab: The great potential brought by large-scale data in the humanities is still hindered by the time and technicality required for making documents digitally intelligible. Within urban studies, historical cadasters have been hitherto largely under-explored despite their informative value. Powerful and generic technologies, based on neural networks, to automate the vectorization of historical maps have recently become available. However, the transfer of these technologies is hampered by the scarcity of interdisciplinary exchanges and a lack of practical literature destinated to humanities scholars, especially on the key step of the pipeline: the annotation. In this article, we propose a set of practical recommendations based on empirical findings on document annotation and automatic vectorization, focusing on the example case of historical cadasters. Our recommendations are generic and easily applicable, based on a solid experience on concrete and diverse projects. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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