Authors:
Benedikt Heinrichs
1
;
Nils Preuß
2
;
Marius Politze
1
;
Matthias S. Müller
1
and
Peter F. Pelz
2
Affiliations:
1
IT Center, RWTH Aachen University, Seffenter Weg 23, Aachen, Germany
;
2
Chair of Fluid Systems, Technical University of Darmstadt, Darmstadt, Germany
Keyword(s):
Research Data Management, Metadata Extraction, Metadata Generation, Metadata Mapping, Linked Data.
Abstract:
Extracting interoperable metadata from data entities is not an easy task. A method for this would need to extract non-interoperable metadata values first and then map the extracted metadata to some sensible representation. In the case of HDF5 files, metadata annotation is already an option, making it an easy target for extracting these non-interoperable metadata values. This paper describes a use-case, that utilizes this property to automatically annotate their data. However, the issue arises, that these metadata values are not reusable, due to their missing interoperability, and validatable since they do not follow any defined metadata schema. Therefore, this paper provides a solution for mapping the defined metadata values to interoperable metadata by extracting them first using a general metadata extraction pipeline and then proposing a method for mapping them. This method can receive a number of application profiles and creates interoperable metadata based on the best fit. The me
thod is validated against the introduced use-case and shows promising results for other research domains as well.
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