作者: Philipp Katz , Torsten Lunze , Marius Feldmann , Dirk Röhrborn , Alexander Schill
DOI: 10.1007/978-3-642-21863-7_13
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摘要: Nowadays, many information workers are experiencing a serious problem: too sources have to be tracked and monitored for important leading overload. State-of-the-art aggregation systems not solved this problem yet. In paper novel system architecture is proposed which can applied in highly scalable solving problem. Such used aggregate heterogeneous present the results user personalized manner. The derived from specific processing model described paper. validity of has been confirmed by web-based realized based on architecture. implementation supposed framework various extraction relation detection algorithms discussed follow-up publications.