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In this paper, we present LexMeta, a metadata model for the description of human-readable 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.
The Component MetaData Infrastructure (CMDI) is a framework for the creation and usage of metadata formats to describe all kinds of resources in the CLARIN world. To better connect to the library world, and to allow librarians to enter metadata for linguistic resources into their catalogues, a crosswalk from CMDI-based formats to bibliographic standards is required. The general and rather fluid nature of CMDI, however, makes it hard to map arbitrary CMDI schemas to metadata standards such as Dublin Core (DC) or MARC 21, which have a mature, well-defined and fixed set of field descriptors. In this paper, we address the issue and propose crosswalks between CMDI-based profiles originating from the NaLiDa project and DC and MARC 21, respectively.
We present the conceptual foundations and basic features of fLexiCoGraph, a generic software package for creating and presenting curated human-oriented lexicographical resources that are roughly modeled according to Měchura’s (2016) idea of graph-augmented trees. The system is currently under development and will be made accessible as open source software. As a sample use case we discuss an existing online database of loanwords borrowed from German into other languages which is based on a growing number of language-specific loanword dictionaries (Lehnwortportal Deutsch). The paper outlines the conceptual foundations of fLexiCoGraph’s hybrid graph/XML data model. To establish a database, XML-based resources may be imported or even input manually. An additional graph database layer is then constructed from these XML source documents in a freely configurable, but automated way; subsequently, the resulting graph can be manipulated and enlarged through a visual user interface in such a way that keeps the relationship to the source document information explicit at all times. We sketch the tooling support for different kinds of graph-level editing processes, including mechanisms for dealing with updated XML source documents and coping with duplicate or inconsistent information, and briefly discuss the browser interface for end users.