DSD: The Data Source Description Vocabulary

Lisa Ehrlinger; Johannes Schrott; Wolfram Wöß

doi:10.1007/978-3-031-39689-2_1

DSD: The Data Source Description Vocabulary

Lisa Ehrlinger, Johannes Schrott, Wolfram Wöß

Institute for Application-oriented Knowledge Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	Database and Expert Systems Applications - DEXA 2023 Workshops
Editors	Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan
Place of Publication	Cham
Publisher	Springer
Pages	3-10
Number of pages	8
Volume	1872
ISBN (Print)	978-3-031-39688-5
DOIs	https://doi.org/10.1007/978-3-031-39689-2_1
Publication status	Published - 2023

Publication series

Name	Communications in Computer and Information Science

Fields of science

102010 Database systems
102015 Information systems
102025 Distributed systems
102028 Knowledge engineering
102033 Data mining
509018 Knowledge management

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-031-39689-2_1

Cite this

Ehrlinger, L., Schrott, J., & Wöß, W. (2023). DSD: The Data Source Description Vocabulary. In Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan (Ed.), Database and Expert Systems Applications - DEXA 2023 Workshops (Vol. 1872, pp. 3-10). (Communications in Computer and Information Science). Springer. https://doi.org/10.1007/978-3-031-39689-2_1

Ehrlinger, Lisa ; Schrott, Johannes ; Wöß, Wolfram. / DSD: The Data Source Description Vocabulary. Database and Expert Systems Applications - DEXA 2023 Workshops. editor / Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan. Vol. 1872 Cham : Springer, 2023. pp. 3-10 (Communications in Computer and Information Science).

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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.",

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Ehrlinger, L, Schrott, J & Wöß, W 2023, DSD: The Data Source Description Vocabulary. in Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan (ed.), Database and Expert Systems Applications - DEXA 2023 Workshops. vol. 1872, Communications in Computer and Information Science, Springer, Cham, pp. 3-10. https://doi.org/10.1007/978-3-031-39689-2_1

DSD: The Data Source Description Vocabulary. / Ehrlinger, Lisa; Schrott, Johannes; Wöß, Wolfram.
Database and Expert Systems Applications - DEXA 2023 Workshops. ed. / Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan. Vol. 1872 Cham: Springer, 2023. p. 3-10 (Communications in Computer and Information Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AB - 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.

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Ehrlinger L, Schrott J, Wöß W. DSD: The Data Source Description Vocabulary. In Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan, editor, Database and Expert Systems Applications - DEXA 2023 Workshops. Vol. 1872. Cham: Springer. 2023. p. 3-10. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-39689-2_1