Abstract
Grammis is a web-based information system on German grammar, hosted by the Institute for the German Language (IDS). It is human-oriented and features different theoretical perspectives on grammar. Currently, the terminology component of grammis is being redesigned for this theoretical diversity to play a more prominent role in the data model. This also opens opportunities for implementing some machine-oriented features. In this paper, we present the re-design of both data model and knowledge base. We explore how the addition of machine-oriented features to the data model impacts the knowledge base; in particular, how this addition shifts some of the textual complexity into the data model. We show that our resource can easily be ported to a SKOS-XL representation, which makes it available for data science, knowledge-based NLP applications, and LOD in the context of digital humanities.
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Notes
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Namespace URI: http://www.w3.org/2008/05/skos-xl.
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Namespace URI: http://www.w3.org/2004/02/skos/core.
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Namespace URI: http://purl.org/dc/elements/1.1/.
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Kommunikanten-Pronomen refers to the speaker or the person being addressed (I, you, we), whereas anaphorisches Personalpronomen refers to third parties other than speaker or the person being addressed (he, she, it, they).
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Duden. Die Grammatik is a standard reference for German grammar [12].
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Compare: Possessiv-Artikel vs. possessivisches Artikelwort (‘possessive article word’); Demonstrativ-Artikel vs. demonstrativisches Artikelwort (‘demonstrative article word’).
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Suchowolec, K., Lang, C., Schneider, R., Schwinn, H. (2017). Shifting Complexity from Text to Data Model. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_18
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