A spatio-temporal visual analysis tool for historical dictionaries

[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 qu...

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Autores: Benito Santos, Alejandro, Losada Gómez, Antonio Gabriel, Therón Sánchez, Roberto, Dorn, Amelie, Seltmann, Melanie, Wandl-Vogt, Eveline
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/131964
Acceso en línea:http://hdl.handle.net/10366/131964
Access Level:acceso abierto
Palabra clave:1203 Ciencia de los ordenadores
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spelling A spatio-temporal visual analysis tool for historical dictionariesBenito Santos, AlejandroLosada Gómez, Antonio GabrielTherón Sánchez, RobertoDorn, AmelieSeltmann, MelanieWandl-Vogt, Eveline1203 Ciencia de los ordenadores[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.201620162016info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10366/131964reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésTEEM '16 Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing MulticulturalityAttribution-NonCommercial-NoDerivs 3.0 Unportedhttps://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1319642026-06-07T06:28:51Z
dc.title.none.fl_str_mv A spatio-temporal visual analysis tool for historical dictionaries
title A spatio-temporal visual analysis tool for historical dictionaries
spellingShingle A spatio-temporal visual analysis tool for historical dictionaries
Benito Santos, Alejandro
1203 Ciencia de los ordenadores
title_short A spatio-temporal visual analysis tool for historical dictionaries
title_full A spatio-temporal visual analysis tool for historical dictionaries
title_fullStr A spatio-temporal visual analysis tool for historical dictionaries
title_full_unstemmed A spatio-temporal visual analysis tool for historical dictionaries
title_sort A spatio-temporal visual analysis tool for historical dictionaries
dc.creator.none.fl_str_mv Benito Santos, Alejandro
Losada Gómez, Antonio Gabriel
Therón Sánchez, Roberto
Dorn, Amelie
Seltmann, Melanie
Wandl-Vogt, Eveline
author Benito Santos, Alejandro
author_facet Benito Santos, Alejandro
Losada Gómez, Antonio Gabriel
Therón Sánchez, Roberto
Dorn, Amelie
Seltmann, Melanie
Wandl-Vogt, Eveline
author_role author
author2 Losada Gómez, Antonio Gabriel
Therón Sánchez, Roberto
Dorn, Amelie
Seltmann, Melanie
Wandl-Vogt, Eveline
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv 1203 Ciencia de los ordenadores
topic 1203 Ciencia de los ordenadores
description [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.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/131964
url http://hdl.handle.net/10366/131964
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv TEEM '16 Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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