Towards an extensible measurement of metadata quality
2017 | conference paper. A publication with affiliation to the University of Göttingen.
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Cite this publication
Király, P. (2017). Towards an extensible measurement of metadata quality. Paper presented at DATeCH2017, 2nd International Conference on Digital Access to Textual Cultural Heritage Paper presented at DATeCH2017, 2nd International Conference on Digital Access to Textual Cultural Heritage, Göttingen. doi: https://doi.org/10.1145/3078081.3078109
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Details
- Authors
- Király, Péter
- Abstract
- This paper describes the structure of an extensible metadata quality assessment framework, which supports multiple metadata schemas, and is flexible enough to work with new schemas. The software has to be scalable to be able to process huge amount of metadata records within a reasonable time. Fundamental requirements that need to be considered during the design of such a software are i) the abstraction of the metadata schema (in the context of the measurement process), ii) how to address distinct parts within metadata records, iii) the workflow of the measurement, iv) a common and powerful interface for the individual metrics, and v) interoperability with Java and REST APIs.
- Issue Date
- 2017
- Organization
- Gesellschaft für wissenschaftliche Datenverarbeitung ; eResearch Alliance Göttingen
- Conference
- DATeCH2017, 2nd International Conference on Digital Access to Textual Cultural Heritage
- ISBN
- 978-1-4503-5265-9
- Conference Place
- Göttingen
- Event start
- 2017
- Language
- English