Big Data Integration for Industry 4.0

Abstract

The fourth industrial revolution promises a new quality of automation with smart manufacturing devices sharing enormous amounts of data. A crucial step in fulfilling this promise is developing advanced data integration methods that are able to consolidate and combine heterogeneous data from multiple sources. We outline the use of knowledge graphs for data integration and provide an overview of proposed approaches to create and update such knowledge graphs, in particular for schema and ontology matching, data lifting and especially for entity resolution. Furthermore, we present data integration use cases for Industry 4.0 and discuss open problems.