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Authors: Benedikt Heinrichs and Marius Politze

Affiliation: IT Center, RWTH Aachen University, Seffenter Weg 23, Aachen, Germany

Keyword(s): Research Data Management, Metadata Extraction, Metadata Generation, Linked Data.

Abstract: Many research data management processes, especially those defined by the FAIR Guiding Principles, rely on metadata for making it findable and re-usable. Most Metadata workflows however require the researcher to describe their data manually, a tedious process which is one of the reasons it is sometimes not done. Therefore, automatic solutions have to be used in order to ensure the findability and re-usability. Current solutions only focus and are effective on extracting metadata in single disciplines using domain knowledge. This paper aims, therefore, at identifying the gaps in current metadata extraction processes and defining a model for a general extraction pipeline for research data. The results of implementing such a model are discussed and a proof-of-concept is shown in the case of video-based data. This model is basis for future research as a testbed to build and evaluate discipline-specific automatic metadata extraction workflows.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Heinrichs, B. and Politze, M. (2020). Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 227-234. DOI: 10.5220/0010129502270234

@conference{kdir20,
author={Benedikt Heinrichs. and Marius Politze.},
title={Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR},
year={2020},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010129502270234},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR
TI - Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods
SN - 978-989-758-474-9
IS - 2184-3228
AU - Heinrichs, B.
AU - Politze, M.
PY - 2020
SP - 227
EP - 234
DO - 10.5220/0010129502270234
PB - SciTePress

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