Discovering Intentions and Desires Within Knowledge Intensive Processes

摘要

Traditional approaches for process modeling usually comprise the control flow of well-structured activities that an organization performs in order to achieve its objectives. However, many processes involving decision-making and creativity do not follow a well-structured flow of activities, having rather a more ad-hoc nature at each instance. Knowledge Intensive Processes (KIP) is an example of this kind of process. It is difficult to gather information about a KIP and create a representative model, since it might vary from instance to instance due to decisions made by its participants. The contextual information of each activity - as well as the desires and intentions of the participants - are vital to the complete understanding of the process itself. In this paper, we propose a method to extract intentions and desires from KIP participants using NLP Techniques and social media content, as well as exploring its possibilities on a real case study using Twitter.