A Bridging Model for Process Mining and IoT

Abstract Contextualisation is an important challenge in process mining. While Internet of Things (IoT) devices are collecting more and data on the physical context which business processes executed, IoT mining fields still considerably disintegrated. Important concepts, such as event or , not understood same way, causes confusion hinders cooperation between two domains. Based ontologies models, this paper proposes a model to bridge conceptualisation gap fields. The defines necessary concepts relationships build techniques that take into account. As first validation, used describe lifelike example, showing how events related. Using conceptualisation, both practitioners researchers from communities can reason about use find support for understanding, abstraction integration.