Uncertain Spaces, Uncertain Places. Dealing with Geographic Information in Digital Humanities: The Example of a Language Legacy Dataset

Q3 Social Sciences GI_Forum Pub Date : 2020-06-25 DOI:10.1553/giscience2020_01_s32
A. Dorn, R. R. Souza, B. Piringer, E. Wandl-Vogt
{"title":"Uncertain Spaces, Uncertain Places. Dealing with Geographic Information in Digital Humanities: The Example of a Language Legacy Dataset","authors":"A. Dorn, R. R. Souza, B. Piringer, E. Wandl-Vogt","doi":"10.1553/giscience2020_01_s32","DOIUrl":null,"url":null,"abstract":"In addition to their purely linguistic content, legacy language collections often contain other information, such as geographical and spatial details, e.g. locations, regions and municipalities. Such information may offer valuable insights into the linguistic landscape, but it may also pose challenges when some aspects remain ambiguous. This paper outlines and discusses various known and unknown uncertainties of spatial aspects contained in a non-standard German language legacy dataset (DBO) that has undergone several stages of data conversion since the early nineties. The authors introduce and discuss their taxonomy of uncertainties, exemplified by applying it to the spatial information contained in the DBO, the origins of which date back one hundred years. Finally, the authors discuss how the uncertainties found in the dataset affect Digital Humanities practice more widely.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GI_Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1553/giscience2020_01_s32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

In addition to their purely linguistic content, legacy language collections often contain other information, such as geographical and spatial details, e.g. locations, regions and municipalities. Such information may offer valuable insights into the linguistic landscape, but it may also pose challenges when some aspects remain ambiguous. This paper outlines and discusses various known and unknown uncertainties of spatial aspects contained in a non-standard German language legacy dataset (DBO) that has undergone several stages of data conversion since the early nineties. The authors introduce and discuss their taxonomy of uncertainties, exemplified by applying it to the spatial information contained in the DBO, the origins of which date back one hundred years. Finally, the authors discuss how the uncertainties found in the dataset affect Digital Humanities practice more widely.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
未知的空间,未知的地方。处理数字人文学科中的地理信息:一个语言遗留数据集的例子
除了纯语言内容之外,遗留语言集合通常还包含其他信息,例如地理和空间细节,例如位置、地区和市政当局。这些信息可能对语言景观提供有价值的见解,但当某些方面仍然模棱两可时,它也可能带来挑战。本文概述并讨论了自90年代初以来经历了几个阶段的数据转换的非标准德语遗留数据集(DBO)中包含的各种已知和未知的空间方面的不确定性。作者介绍并讨论了他们的不确定性分类,并举例说明了将其应用于DBO中包含的空间信息,DBO的起源可以追溯到100年前。最后,作者讨论了数据集中发现的不确定性如何更广泛地影响数字人文学科的实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
期刊最新文献
Above-Ground Forest Biomass Estimation using Multispectral LiDAR Data in a Multilayered Coniferous Forest The State of Trajectory Visualization in Notebook Environments Development of a Standardized, Interdisciplinary Approach for Evaluating the Impact of Infrastructural Interventions on Sustainable Mobility A Comparative Study of Geocoder Performance on Unstructured Tweet Locations Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1