Sampling process information from unstructured data

Process Data Management and information governance are important tasks in product engineering. Formal process descriptions, quick access to technology data, check for consistent process flows, and the easy reuse of technology data are the main drivers of these developments. This paper introduces new methods for systematically collecting and storing technology data preserving the multidimensional context in which it had been created. Furthermore new methods and tools are introduced reconstructing the context of historical data, therefore creating information from the “heap”.