Service-based knowledge monitoring of collaborative environments for user-context sensitive enhancement

This paper presents an approach to correlate user interactions with knowledge in a collaborative environment to enhance information recommendations given by as well as the environment itself. It premises that in a user-sensitive context the important information to use is coherent with the actions made by an individual as well as by the group. The following description shows how to utilize this monitorable information of interactions with existing systems in a collaborative environment to enrich and focus the recommendations of knowledge for the individual. The approach focuses on the implicit and explicit knowledge given by a user in a dynamic bi-directional feedback system that unobtrusively monitors the active and passive knowledge. The described process is supported by a modular service-oriented architecture which allows docking onto different systems to monitor and analyze the user's interactions and support the systems through monitoring data, based on configurable rules allowing adaptation to different scenarios.