This PhD thesis deals with process knowledge and how it is possible to enable users without any kind of IT skills to i) model processes and ii) analyze the provenance of process executions, without the intervention of software or knowledge engineers, We propose the utilization of Problem Solving Methods (PSMs) as key enablers for the accomplishment of such objectives and demonstrate the solutions developed, evaluated in the contexts of Project Halo and the Provenance Challenge, respectively. The thesis conludes with a process-centric overview on the challenges raised by the new web-driven computing paradigm, where large amounts of data are contributed and exploited by users on the web, requiring scalable, non-monotonic reasoning techniques as well as stimulating collaboration while preserving trust.
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