Abstract
Nowadays, Web-based information systems, such as web feeds or enterprise microblogs produce a seemingly continuous and endless stream of messages. Unfortunately, especially information workers currently experience an information overload. Thus, system support is required that enables a reduction of information load based on an automatic preprocessing of these streams. This paper presents an innovative approach to author IIR (Internet Information Retrieval) processing chains applicable for these stream-based business information systems. It is based on a novel system architecture named Spectre for realising highly scalable systems. Using a dedicated authoring tool, concrete systems can be developed efficiently and adapted to specific requirements. The solution has been validated using a prototypical implementation within a concrete business information system.
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Katz, P., Feldmann, M., Lunze, T., Sprenger, S., Schill, A. (2012). Authoring Processing Chains for Stream-Based Internet Information Retrieval Systems. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds) Business Information Systems. BIS 2012. Lecture Notes in Business Information Processing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30359-3_17
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DOI: https://doi.org/10.1007/978-3-642-30359-3_17
Publisher Name: Springer, Berlin, Heidelberg
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