Calculating the trust of event descriptions using provenance

Understanding real world events often calls for the integration of data from multiple often conflicting sources. Trusting the description of an event requires not only determining trust in the data sources but also in the integration process itself. In this work, we propose a trust algorithm for event data based on Subjective Logic that takes into account not only opinions about data sources but also how those sources were integrated. This algorithm is based on a mapping between a general event ontology, the Simple Event Model, and a model for describing provenance, the Open Provenance Model. We discuss the results of applying the algorithm to a use case from the maritime domain.