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The Shortcomings of Language Tags for Linked Data When Modeling Lesser-Known Languages

Authors Frances Gillis-Webber , Sabine Tittel

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Subject Classification

ACM Subject Classification
  • Computing methodologies → Language resources
  • Information systems → Dictionaries
  • Information systems → Semantic web description languages
  • Information systems → Graph-based database models
  • Information systems → Resource Description Framework (RDF)
  • Software and its engineering → Interoperability
  • Information systems → Multilingual and cross-lingual retrieval
  • Computing methodologies → Information extraction
  • Computing methodologies → Artificial intelligence
Keywords
  • language codes
  • language tags
  • Resource Description Framework
  • Linked Data
  • Linguistic Linked Data
  • Khoisan languages
  • click languages
  • N|uu
  • ||'Au
  • Old French

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Abstract

In recent years, the modeling of data from linguistic resources with Resource Description Framework (RDF), following the Linked Data paradigm and using the OntoLex-Lemon vocabulary, has become a prevalent method to create datasets for a multilingual web of data. An important aspect of data modeling is the use of language tags to mark lexicons, lexemes, word senses, etc. of a linguistic dataset. However, attempts to model data from lesser-known languages show significant shortcomings with the authoritative list of language codes by ISO 639: for many lesser-known languages spoken by minorities and also for historical stages of languages, language codes, the basis of language tags, are simply not available. This paper discusses these shortcomings based on the examples of three such languages, i.e., two varieties of click languages of Southern Africa together with Old French, and suggests solutions for the issues identified.

Cite As Get BibTex

Frances Gillis-Webber and Sabine Tittel. The Shortcomings of Language Tags for Linked Data When Modeling Lesser-Known Languages. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 4:1-4:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/OASIcs.LDK.2019.4

Author Details

Frances Gillis-Webber
  • Library and Information Studies Centre, University of Cape Town, South Africa
Sabine Tittel
  • Heidelberg Academy of Sciences and Humanities, Heidelberg, Germany

Acknowledgements

We would like to thank the reviewers for helpful comments and insightful feedback.

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