Many of today’s organizations already have a strong integration of groupware systems in their IT-infrastructure, which are not only used for communication purposes, but also for collaboration and coordination. The shared databases of these groupware systems form organizational memories, which comprise the complete knowledge of an organization collected over the time of its existence. The goal of such organizational memory systems is to capture knowledge or information within an organization and to distribute it to the workers, who need it and therefore, to improve the competitiveness of an organization by improving the way in which it manages its knowledge. One of the occurring key problems is how to find relevant knowledge or information in continuously growing and distributed organizational memories. The basic functionalities and mechanisms in groupware systems are not sufficient to support workers in finding required knowledge or information. Topic maps - as defined in ISO/IEC 13250 - provide strong paradigms and concepts for the semantic structuring of link networks and therefore, they are a considerable solution for organizing and navigating large and continuously growing organizational memories. The K-Discovery project suggests applying topic maps to groupware systems to address the mentioned challenges. Thus, the K-Discovery project introduces a conceptual framework as well as an architecture and an implementation approach to create knowledge structures by generating topic maps in organizational memories. Based on action research, we propose an approach to support users in finding needed knowledge or information in organizational memories and point out the combination of groupware paradigms and topic maps, leading to substantial synergies for the organizational knowledge management.