Sensemaking is a constant and ongoing process by which people associate meaning to experiences. It can be an individual process, known as abduction, or a group process by which people give meaning to collective experiences. The sensemaking of a group is influenced by the abduction process of each person about the experience. Every collaborative process needs some level of sensemaking to show results. For a knowledge intensive process, sensemaking is central and related to most of its tasks. We present findings from a fieldwork executed in knowledge intensive process from the Oil and Gas industry. Our findings indicated that different types of knowledge can be combined to compose the result of a sensemaking process (e.g. decision, the need for more discussion, etc.). This paper presents an initial set of knowledge types that can be combined to compose the result of the sensemaking of a collaborative decision making process. We also discuss ideas for using systems powered by Artificial Intelligence to support sensemaking processes.

在本研究中，我们通过对油气行业知识密集型过程的实地考察，表明不同类型的知识可以结合起来形成集体决策过程的意义构建结果，并讨论使用人工智能驱动的系统来支持意义构建过程的想法。

知识密集型过程的理解：一个石油和天然气行业的场景