The Ph.D. thesis of Alexander Denzler introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how to accomplish this by combining granular computing, natural language processing, and a set of metrics that it introduces to measure and compare candidates’ suitability. The chapter describes the profiling techniques that can be used to assess knowledge requirements based on a given problem statement or question to ensure that only the most suitable candidates are recommended.