Shifting Complexity from Text to Data Model: Adding Machine-Oriented Features to a Human-Oriented Terminology Resource
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| Názov: | Shifting Complexity from Text to Data Model: Adding Machine-Oriented Features to a Human-Oriented Terminology Resource |
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| Autori: | Suchowolec, Karolina, Lang, Christian, Schneider, Roman, Schwinn, Horst |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319598871 |
| Informácie o vydavateľovi: | Springer International Publishing, 2017. |
| Rok vydania: | 2017 |
| Predmety: | ddc:400, Informationsmanagement, Grammatik, Terminologie |
| Popis: | 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. |
| Druh dokumentu: | Part of book or chapter of book Article |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| DOI: | 10.1007/978-3-319-59888-8_18 |
| DOI: | 10.1007/978-3-319-59888-8 |
| Prístupová URL adresa: | https://link.springer.com/chapter/10.1007/978-3-319-59888-8_18 http://doi.org/10.1007/978-3-319-59888-8_18 https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/6289 https://rd.springer.com/chapter/10.1007/978-3-319-59888-8_18 https://dblp.uni-trier.de/db/conf/ldk/ldk2017.html#SuchowolecLSS17 https://doi.org/10.1007/978-3-319-59888-8_18 |
| Rights: | Springer TDM |
| Prístupové číslo: | edsair.doi.dedup.....c8938e1a023ff0b9b33fc50db14c61f9 |
| Databáza: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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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| DOI: | 10.1007/978-3-319-59888-8_18 |