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Explicating knowledge on data models through domain specific languages

Author:
Gradl, Tobias [DBLP] ;
Henrich, Andreas [DBLP]
Abstract
Digital artifacts and metadata of the arts and humanities exhibit a wide spectrum of formats, structures and contexts, and hence a high level of heterogeneity. With particular respect of the characteristics of the application domain, we propose a concept on the basis of formal languages, which allows the separation of technical and contextual aspects of data modeling. Based on a developed framework, domain experts explicate knowledge about data in terms of domain specific languages and derived transformation functions. Independent of actual technical aspects of data transformation and integration (e.g. formats, access protocols, schema languages), experts of particular disciplines, collections or research questions can describe and define data models and relations in an extensive, declarative fashion—utilizing custom data models or standards as applicable. As implicit knowledge is continuously explicated within the data models, interpretations external to the generative context of data are facilitated—thereby promoting interoperability.
  • Citation
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Gradl, T. & Henrich, A., (2017). Explicating knowledge on data models through domain specific languages. In: Eibl, M. & Gaedke, M. (Hrsg.), INFORMATIK 2017. Gesellschaft für Informatik, Bonn. (S. 1125-1136). DOI: 10.18420/in2017_114
@inproceedings{mci/Gradl2017,
author = {Gradl, Tobias AND Henrich, Andreas},
title = {Explicating knowledge on data models through domain specific languages},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 1125-1136 } ,
doi = { 10.18420/in2017_114 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info

DOI: 10.18420/in2017_114
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)

Keywords

  • Digital humanities
  • descriptive data modeling
  • language applications
  • DARIAH
Collections
  • P275 - INFORMATIK 2017 [266]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.