Semantic Integration and Interoperability

authored by

Sören Auer

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.

Organisation(s)

Data Science and Digital Libraries Section

Type

Contribution to book/anthology

Pages

195-210

No. of pages

16

Publication date

2022

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

General Computer Science, General Mathematics

Electronic version(s)

https://doi.org/10.1007/978-3-030-93975-5_12 (Access: Open)