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A Multi-Channel Dissemination System Based on Time-Series Clustering Mechanism for On-Line News Articles

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

In this paper, we propose a multi-channel dissemination system with a clustering mechanism and a presentation technique for time-series on-line news articles on the Internet. We describe a detecting technique for articles whose topics are the same. These articles are called follow-up articles. In addition, we describe a calculating method for confidence level and scoop level assigned to news articles using temporal information. Furthermore we describe a prototype system called Carthage based on our proposed method. The system reconstructs all of the articles to follow-up article groups and distributes the article group with several user interfaces.

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Author information

Authors and Affiliations

  1. Division of Computer and Systems Engineering Graduate School of Science and Technology, Kobe University, Japan

    Koichi Matsumoto

  2. Division of Urban Information Systems Research Center for Urban Safety and Security, Kobe University, Japan

    Kazutoshi Sumiya & Kuniaki Uehara

Authors
  1. Koichi Matsumoto
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  2. Kazutoshi Sumiya
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  3. Kuniaki Uehara
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Matsumoto, K., Sumiya, K., Uehara, K. (2000). A Multi-Channel Dissemination System Based on Time-Series Clustering Mechanism for On-Line News Articles. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_35

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  • DOI: https://doi.org/10.1007/3-540-44469-6_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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