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Marko Grobelnik,
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Complex Event Processing (CEP) is emerging as a new paradigm for continuous processing of streaming data in order to detect relevant information and provide support for timely reactions. The main role of a CEP engine is to detect the occurrence of event patterns on the incoming stream of data. This deliverable reports on the state of the art in the area of CEP identifying also existing research challenges and analyses two smart city use cases. For the two use cases, we collected and pre-processed over 1.5 years of data from several smart city related data sources. The first challenge was to enable an efficient browsing and visualization functionality on this data while the second was to identify possible correlations between the data sources. The indirect implication of the tasks is that they enable us to identify ways to improve the existing state of the art and tools from the area of CEP. Both tasks are pre-requisites for …