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.
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Katz, P., Lunze, T., Feldmann, M., Röhrborn, D., Schill, A. (2011). System Architecture for Handling the Information Overload in Enterprise Information Aggregation Systems. In: Abramowicz, W. (eds) Business Information Systems. BIS 2011. Lecture Notes in Business Information Processing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21863-7_13
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DOI: https://doi.org/10.1007/978-3-642-21863-7_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21829-3
Online ISBN: 978-3-642-21863-7
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