Knowledge is essential for organizations' growth, allowing them to solve problems, make decisions, innovate, and stay competitive. Within organizations, there is, on the one hand, explicit knowledge that is easy to capture, represent, and share. On the other hand, there is tacit knowledge possessed and acquired by individuals during their activities, which, unlike explicit knowledge, is difficult to capture, formalize, store, or share within organizations. However, organizations have granted more interest and effort in representing, sharing, and reasoning from explicit knowledge. Nevertheless, to access tacit knowledge, organizations rely on methods such as meetings, mentoring, question answering, or interviews, which are not efficient for personal know-how within organizations.
This study elaborates on the construction of interpersonal activity graphs from semantic web perspectives to represent, share, and reason from organizations' knowledge possessed by individuals regarding their activities. The established activity-centered graph is based on an extension of the activity theory framework. This representation captures the knowledge of persons regarding their activities in a graph form, making it understandable and shareable while offering means to reason and query it.