Enterprise Attention Management System

We present a novel approach for proactive support of user in knowledge intensive organisations. Whilst once information was a scarce resource, nowadays all kinds and qualities of information are available. However human attention has become a scarce resource which is difficult to manage and support. Our attention management system proactively supports the user in dealing with processes, activities and tasks defined by a semantically-enhanced business workflow. Moreover the user is supported in reacting on changes respecting the users’ context and preferences. The approach is based on an expressive attention model, which is realized by combining context-aware ECA rules with ontologies and an appropriate preference model. We present the system’s architecture, describe its main components and present early evaluation results. Our system is particularly deployed in a use case related to eGoverment. Nevertheless the architecture we present is general, and may be used in all kind of information and knowledge systems where handling the user attention is of an important interest.