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.
%0 Book Section
%1 citeulike:12447686
%A Katz, Philipp
%A Lunze, Torsten
%A Feldmann, Marius
%A Röhrborn, Dirk
%A Schill, Alexander
%B Business Information Systems
%D 2011
%E Abramowicz, Witold
%I Springer Berlin Heidelberg
%K citas, citeulike recomendacion, referencias, rss
%P 148--159
%R 10.1007/978-3-642-21863-7_13
%T System Architecture for Handling the Information Overload in Enterprise Information Aggregation Systems
%U http://dx.doi.org/10.1007/978-3-642-21863-7_13
%V 87
%X 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.
@incollection{citeulike:12447686,
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.}},
added-at = {2017-09-08T10:52:59.000+0200},
author = {Katz, Philipp and Lunze, Torsten and Feldmann, Marius and R\"{o}hrborn, Dirk and Schill, Alexander},
biburl = {https://www.bibsonomy.org/bibtex/24eec4c7eaa78787bb6158c319dbee6de/fernand0},
booktitle = {Business Information Systems},
citeulike-article-id = {12447686},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-21863-7_13},
citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-3-642-21863-7_13},
doi = {10.1007/978-3-642-21863-7_13},
editor = {Abramowicz, Witold},
interhash = {7f01c151607d0f3b28b7494b0d60496a},
intrahash = {4eec4c7eaa78787bb6158c319dbee6de},
keywords = {citas, citeulike recomendacion, referencias, rss},
pages = {148--159},
posted-at = {2013-06-26 17:33:11},
priority = {2},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Business Information Processing},
timestamp = {2017-09-08T10:53:23.000+0200},
title = {{System Architecture for Handling the Information Overload in Enterprise Information Aggregation Systems}},
url = {http://dx.doi.org/10.1007/978-3-642-21863-7_13},
volume = 87,
year = 2011
}