English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Towards automatic quality assessment of component metadata

MPS-Authors
/persons/resource/persons14

Broeder,  Daan
The Language Archive, MPI for Psycholinguistics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Trippel_etal_2014.pdf
(Publisher version), 4MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Trippel, T., Broeder, D., Durco, M., & Ohren, O. (2014). Towards automatic quality assessment of component metadata. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, et al. (Eds.), Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation (pp. 3851-3856).


Cite as: https://hdl.handle.net/11858/00-001M-0000-0024-3233-2
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 reposi-tory. 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