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Real-time processing of data coming from multiple heterogeneous data streams and static databases is a typical task in many industrial scenarios such as diagnostics of large machines. A complex diagnostic task may require a collection of up to hundreds of queries over such data. Although many of these queries retrieve data of the same kind, such as temperature measurements, they access structurally different data sources. In this work we show how Semantic Technologies implemented in our systemdoi:10.1145/2882903.2899385 dblp:conf/sigmod/KharlamovBJKLMN16 fatcat:r5hcgvmrurbe7a6rxjenrcn4xq