Enabling Semantic Complex Event Processing in the Domain of Logistics

Abstract

During the execution of business processes, companies generate vast amounts of events, which makes it hard to detect meaningful process information that could be used for process analysis and improvement. Complex event processing (CEP) can help in this matter by providing techniques for continuous analysis of events. The consideration of domain knowledge can increase the performance of reasoning tasks but it is different for each domain and depends on the requirements of these domains. In this paper, an existing approach of combining CEP and ontological knowledge is applied to the domain of logistics. We show the benefits of semantic complex event processing (SCEP) for logistics processes along the specific use case of tracking and tracing goods and processing related events. In particular, we provide a novel domain-specific function that allows to detect meaningful events for a transportation route. For the demonstration, a prototypical implementation of a system enabling SCEP queries is introduced and analyzed in an experiment.