@inproceedings{TrippelBroederDurcoetal.2022,
  author    = {Thorsten Trippel and Daan Broeder and Matej Durco and Oddrun Ohren},
  title     = {Towards automatic quality assessment of component metadata},
  series = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). May 26-31, 2014, Reykjavik, Iceland},
  editor    = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address   = {Paris},
  isbn      = {978-2-9517408-8-4},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-108619},
  pages     = {3851 -- 3856},
  year      = {2022},
  abstract  = {Measuring the quality of metadata is only possible by assessing the quality of the underlying schema and the metadata instance. We propose some factors that are measurable automatically for metadata according to the CMD framework, taking into account the variability of schemas that can be defined in this framework. The factors include among others the number of elements, the (re-)use of reusable components, the number of filled in elements. The resulting score can serve as an indicator of the overall quality of the CMD instance, used for feedback to metadata providers or to provide an overview of the overall quality of metadata within a repository. The score is independent of specific schemas and generalizable. An overall assessment of harvested metadata is provided in form of statistical summaries and the distribution, based on a corpus of harvested metadata. The score is implemented in XQuery and can be used in tools, editors and repositories.},
  language  = {en}
}