@inproceedings{ed6f1c1975654aab987d51c08490fd68,
title = "DSD: The Data Source Description Vocabulary",
abstract = "Training machine learning models, especially in producing enterprises with numerous information systems having different data structures, requires efficient data access. Hence, standardized descriptions of data sources and their data structures are a fundamental requirement. We therefore introduce version 4.0 of the Data Source Description Vocabulary (DSD), which represents a data source in a standardized form using an ontology. We present several real-world applications where the DSD vocabulary has been applied in recent years to demonstrate its relevance. An evaluation against the FAIR principles highlights the scientific quality and potential for reuse of the DSD vocabulary.",
author = "Lisa Ehrlinger and Johannes Schrott and Wolfram W{\"o}{\ss}",
year = "2023",
doi = "10.1007/978-3-031-39689-2\_1",
language = "English",
isbn = "978-3-031-39688-5",
volume = "1872",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "3--10",
editor = "Gabriele Kotsis and Ismail Khalil and Atif Mashkoor and Johannes Sametinger and Tjoa, \{A Min\} and Bernhard Moser and Maqbool Khan",
booktitle = "Database and Expert Systems Applications - DEXA 2023 Workshops - 34th International Conference, DEXA 2023, Proceedings",
}