Details
| Original language | English |
|---|---|
| Title of host publication | Designing Data Spaces |
| Subtitle of host publication | The Ecosystem Approach to Competitive Advantage |
| Editors | Boris Otto, Michael ten Hompel, Stefan Wrobel |
| Place of Publication | Cham |
| Pages | 195-210 |
| Number of pages | 16 |
| ISBN (electronic) | 978-3-030-93975-5 |
| Publication status | Published - 2022 |
Abstract
A 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.
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Mathematics(all)
- General Mathematics
Cite this
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Designing Data Spaces: The Ecosystem Approach to Competitive Advantage. ed. / Boris Otto; Michael ten Hompel; Stefan Wrobel. Cham, 2022. p. 195-210.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Semantic Integration and Interoperability
AU - Auer, Sören
PY - 2022
Y1 - 2022
N2 - A 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.
AB - A 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.
UR - http://www.scopus.com/inward/record.url?scp=105001888624&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-93975-5_12
DO - 10.1007/978-3-030-93975-5_12
M3 - Contribution to book/anthology
SN - 978-3-030-93974-8
SP - 195
EP - 210
BT - Designing Data Spaces
A2 - Otto, Boris
A2 - ten Hompel, Michael
A2 - Wrobel, Stefan
CY - Cham
ER -