Introducing LexMeta: A Metadata Model for Lexical Resources
David Lindemann, Penny Labropoulou, Christiane Klaes · Zenodo (CERN European Organization for Nuclear Research) · 2022
In this paper, we present LexMeta, a metadata model for the description of humanreadable and computational lexical resources in catalogues. Our initial motivation is the extension of the LexBib knowledge graph with the addition of metadata for dictionaries, making it a catalogue of and about lexicographical works. The scope of the proposed model, however, is broader, aiming at the exchange of metadata with catalogues of Language Resources and Technologies and addressing a wider community of researchers besides lexicographers. For the definition of the LexMeta core classes and properties, we deploy widely used RDF vocabularies, mainly Meta-Share, a metadata model for Language Resources and Technologies, and FRBR, a model for bibliographic records.