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Kollaborativ arbeiten und annotieren – Die Forschungsinfrastruktur des Spezialforschungsbereichs Deutsch in Österreich ...
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Kollaborativ arbeiten und annotieren – Die Forschungsinfrastruktur des Spezialforschungsbereichs Deutsch in Österreich ...
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Where the words are: a visual interactive exploration of plants names ...
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Where the words are: a visual interactive exploration of plants names ...
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explore.bread.AT! Die österreichische Brotkultur dialektal ...
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Die DBÖ als Ressource - Vergangenheit, Gegenwart und Zukunft ...
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perspectives of exploring a dialect language resource in a framework of European digital infrastructures ...
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exploreAT! – perspectives of exploring a dialect language resource in a framework of European digital infrastructures ...
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perspectives of exploring a dialect language resource in a framework of European digital infrastructures ...
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exploreAT! – perspectives of exploring a dialect language resource in a framework of European digital infrastructures ...
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A visual historical exploration tool for lexical resources: The case of Austrian language ...
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Survey on Open Science & Citizen Science for eLexicography ...
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A visual historical exploration tool for lexical resources: The case of Austrian language ...
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Survey on Open Science & Citizen Science for eLexicography ...
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Citizen Science in the Humanities: Introduction to the Survey "Citizen Science in the Humanities with special focus on eLexicography" ...
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Citizen Science in the Humanities: Introduction to the Survey "Citizen Science in the Humanities with special focus on eLexicography" ...
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A spatio-temporal visual analysis tool for historical dictionaries
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Abstract:
[EN]The exploreAT! project aims to give insights into the richness of the German language in the Austrian area through a rich and unique collection of dialect words of the Bavarian dialects recorded during the former Austrian-Hungariann Monarchy period and beyond. Originally collected by means of questionnaires, words were noted in handwriting on individual paper slips, covering topics from nature and food to religious festivities, etc. Once digitized, the full database contains around 3.5 million single data entries with an estimated 200,000 headwords, which requires substantial effort if the analysts want to access specific information from the data set. It should also be noted that the data presents a high heterogeneity in terms of its nature and origin (from questionnaires, collectors, scientists, spoken language, hand written notes, etc.), which calls for the creation of a homogeneous database containing all of the available information. In this paper we present a tool aimed to improve the comprehension of that massive amount of data through visualization means, thus trying to help in the reach of meaningful conclusions and the acquisition of valuable insights in easy and fast ways. With it, analysts can discover cultural issues and access them through means of language and visualization. This is possible thanks to a multidimensional approach to data analysis based on the use of maps, projections and other visualization artifacts. To reach our goal, a team of experts with different backgrounds worked together trying to close the gap between the Humanities and Computer Sciences fields through the creation of our prototype and its multiple iterations.
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Keyword:
1203 Ciencia de los ordenadores
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URL: http://hdl.handle.net/10366/131964 https://doi.org/10.1145/3012430.3012636
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