Integration of Knowledge and Task Management in an Evolving, Communication-intensive Environment

Digitalisation of knowledge work, especially in communication-intensive domains is one of the greatest challenges, but also one of the greatest opportunities to improve today's working environments. This demands for a flexible system that supports both knowledge intensive creative work and highly individual processes. Smooth integration is hindered by the lack of the task context in knowledge management systems so far. Furthermore, a model to define and handle mental concepts, which are typically evolving during daily work, is missing, to allow for targeted use of appropriate knowledge in process tasks. In this paper, we propose a bottom-up approach to model and store the static and dynamic aspects of knowledge in terms of data objects and tasks that are connected with each other. The proposed solution leverages the flexibility of a graph-based model to enable open and continuously evolving user-centred processes for knowledge work, but also predefined administrative processes. Besides our approach, we show results from testing a prototypical implementation in a real-life setting in the domain of intellectual property management applications.