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Linked (Open) Data is one key to coping with Big Data: it enables decentralised, collaborative management of big datasets, low-overhead information retrieval, and scalable reasoning. Big Data are created or consumed by technical processes or business processes. Their formal description, e.g. for software verification or compliance checking, requires logics whose complexity far exceeds that of the data. Restricting LOD to the RDF logic does not allow for integrating rich process descriptions with the data that these processes create, and therefore does not enable knowledge management, information retrieval and reasoning to take full advantage of rich background knowledge. In this talk I demonstrate different frontiers at which I have worked towards achieving an integration of process descriptions and data.