Collaborative engineering through integration of architectural, social and spatial models

We present work towards using ontological information to facilitate collaborative tasks during operation, maintenance and service of industrial automation facilities. We use semantic models as an additional layer for a collaboration framework to enable automatic reasoning, decision support and knowledge sharing among multiple parties. Documents such as texts, workflows, images, social media profiles or models of production plants can be semantically annotated to facilitate their ontological classification. Our semantic models comprise behavior and space information, as well as links between documents and from documents to external data collections, such as logs, tables and sensor data. Our semantic models can be used to check consistency, confidentiality and security properties and to support collaborative tasks.