System architecture for handling the information overload in enterprise information aggregation systems

Abstract

Nowadays, many information workers are experiencing a serious problem: too many information sources have to be tracked and monitored for important information leading to information overload. State-of-the-art information aggregation systems have not solved this problem yet. In this paper a novel system architecture is proposed which can be applied in highly scalable information aggregation systems solving this problem. Such a system can be used to aggregate heterogeneous information sources and present the results to a user in a personalized manner. The architecture is derived from a specific information processing model described in this paper. The validity of the system architecture has been confirmed by a web-based information aggregation system realized based on this architecture. The implementation is supposed to be a framework for various novel information extraction and relation detection algorithms discussed in follow-up publications. © 2011 Springer-Verlag.