Knowledge-intensive Processes: An Overview of Contemporary Approaches

Engineering of knowledge-intensive processes is far from being mastered. Processes are defined knowledge-intensive when people/agents carry them out in a fair degree of ``uncertainty'', where the uncertainty depends on different factors, such as the high number of tasks to be represented, their unpredictable nature, or their dependency on the scenario. In the worst case, there is no predefined view of the knowledge-intensive process, and tasks are mainly discovered as the process unfolds. In this work, starting from three different real scenarios, we present a critical comparative analysis of the existing approaches used for supporting knowledge-intensive processes, and we discuss some recent research techniques that may complement or extend the existing state of the art.