People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. In this paper, we provide an overview and comparison of existing RDFS+OWL event models, looking at the different choices they make of how to represent events. We describe a recommended model for publishing records of events as Linked Data. We present tools for populating this model and a prototype of an "event directory" web service, which can be used to locate stable URIs for events that have occurred and to provide RDFS+OWL descriptions of them and links to related resources.
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UC Berkeley School of Information
UC Berkeley technical reports
Knowledge Space of Semantic Inference for Automatic Annotation and Retrieval of Multimedia Content
Human-Centered Data Analytics

Shaw, R., Troncy, R., & Hardman, L. (2009). LODE: Linking Open Descriptions of Events . UC Berkeley technical reports. UC Berkeley School of Information.