Semantic Integration and Interoperability-Reference-Cited by-同舟云学术

Semantic Integration and Interoperability

Published:2022 Issue: Volume: Page:195-210
ISSN:
Container-title:Designing Data Spaces
language:
Short-container-title:

Author:

Auer Sören

Abstract

AbstractA key aspect of establishing data spaces is to develop a common understanding of the data to be shared in the data space. Semantic standards and technologies were developed for this purpose since over two decades. In this article, we will discuss the history and importance of semantic integration for data spaces. We will introduce the base concepts of semantic integration—including the global identifiers for data and the W3C standards RDF, RDF-Schema, and OWL. As a result these standards and technologies can be used to devise versatile Knowledge Graphs capturing domain conceptualizations and concrete data representations. We explain how data interoperability can be achieved by linking and mapping between different data and knowledge representations. Finally we will showcase their use with an example for data integration in supply chains with the ScorVoc vocabulary.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5_12

Reference12 articles.

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3. Grangel-González, I., Halilaj, L., Vidal, M.-E., Lohmann, S., Auer, S., & Müller, A. W. (2018). Seamless integration of cyber-physical systems in knowledge graphs. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018, Pau, France, April 09-13, 2018 (pp. 2000–2003). ACM.

4. Grangel-González, I., Baptista, P., Halilaj, L., Lohmann, S., Vidal, M.-E., Mader, C., & Auer, S. (2017). The industry 4.0 standards landscape from a semantic integration perspective. In 22nd IEEE International Conference on Emerging Technologies and Factory Automation ETFA (pp. 1–8). IEEE.

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