Processes where knowledge is a key characteristic are called knowledge intensive processes (KIP). A successful KIP has to adapt for the situation and to treat each customer's request as unique rather than to follow some predefined sequence of actions. The discipline of Business Process Management (BPM) defines solutions for modeling, development, analysis and improvement of processes with a predefined flow of activities. From the traditional, activity-centered point of view, KIP are challenging to automate, to control and to test for compliance.In this article we present the overview of recent works that address the challenges and explore different ideas, including extension of BPM, theoretical foundations for KIP management and execution support for KIP. We also outline some research perspectives in KIP management and discuss one particular idea that exploits the data-centered point of view on KIP.

Abstract-Modelers face multiple challenges in their work. In this paper, we focus on two of them. First, multiple modeling methods and tools are currently available. Modelers are sometimes limited by their tools or paradigms. Second, when multiple models are proposed for the same case, a decision maker needs criteria to decide which model to choose for his/her objective. This Ph.D thesis aims to explore designer questions for creating the best model.For the first steps, a case study on design patterns applied to modeling process will be made, and a BPMN concepts related comparison function will be proposed.