Abstract
GermaNet is a large lexical-semantic net that relates German nouns, verbs, and adjectives semantically. The word net has been manually constructed over the last 25 years and hence presents a high-quality, valuable resource for German. While GermaNet is maintained in a Postgres database, all its content can be exported as an XML-based serialisation. Recently, this XML representation has been converted into RDF, largely by staying close to GermaNet’s principle of arrangement where lexunits that share the same meaning are grouped together into so-called synsets. With each lexical unit and synset now globally addressable via a unique resource identifier, it has become much easier to link together GermaNet entries with other lexical and semantic resources. In terms of semantic interoperability, however, the RDF variant of GermaNet leaves much to be desired. In this paper, we describe yet another conversion from GermaNet’s XML representation to RDF. The new conversion makes use of the OntoLex-Lemon ontology, and therefore, presents a decisive step toward a GermaNet representation with a much higher level of semantic interoperability, and which makes it possible to use GermaNet with other wordnets that already support this conceptualisation of lexica.- Anthology ID:
- 2023.gwc-1.19
- Volume:
- Proceedings of the 12th Global Wordnet Conference
- Month:
- January
- Year:
- 2023
- Address:
- University of the Basque Country, Donostia - San Sebastian, Basque Country
- Editors:
- German Rigau, Francis Bond, Alexandre Rademaker
- Venue:
- GWC
- SIG:
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 158–166
- Language:
- URL:
- https://aclanthology.org/2023.gwc-1.19
- DOI:
- Cite (ACL):
- Claus Zinn, Marie Hinrichs, and Erhard Hinrichs. 2023. Mapping GermaNet for the Semantic Web using OntoLex-Lemon. In Proceedings of the 12th Global Wordnet Conference, pages 158–166, University of the Basque Country, Donostia - San Sebastian, Basque Country. Global Wordnet Association.
- Cite (Informal):
- Mapping GermaNet for the Semantic Web using OntoLex-Lemon (Zinn et al., GWC 2023)
- PDF:
- https://preview.aclanthology.org/revert-3132-ingestion-checklist/2023.gwc-1.19.pdf