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

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
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引用次数: 0

摘要

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