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Encyclopedia of Database Systems pp 3121–3124Cite as

Topic Detection and Tracking

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Definition

According to the definition at http://projects.ldc.upenn.edu/TDT/, Topic Detection and Tracking (TDT) is a multi-site research project to develop core technologies for a news understanding systems. Specifically, TDT systems discover the topical structure in unsegmented streams of news reporting as it appears across multiple media and in different languages. Some terms are defined below before the TDT problem is fully understood (The definitions are borrowed from Omid Dadgar’s work).

  1. 1.

    Event – An event is something that happens at some specific time and place, and the unavoidable consequences. Specific elections, accidents, crimes and natural disasters are examples of events.

  2. 2.

    Activity – An activity is a connected set of actions that have a common focus or purpose. Specific campaigns, investigations, and disaster relief efforts are examples of activities.

  3. 3.

    Story – A story is a newswire article or a segment of a news broadcast with a coherent news focus. They must contain...

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Recommended Reading

  1. Allan J. Topic Detection and Tracking. Kluwer, Norvell, MA, 2002.

    MATH  Google Scholar 

  2. Allan J., Carbonell J., Doddington G., Yamron J., and Yang Y. Topic detection and tracking pilot study final report. In Proc. DARPA Broadcast News Transcription and Understanding Workshop, 1998, pp. 194–218.

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  3. Makkonen J. and Ahonen-Myka H. Utilizing Temporal Expressions in Topic Detection and Tracking. In Proc. 7th European Conf. Research and Advanced Technology for Digital Libraries, 2003, pp. 393–404.

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  4. Mori M., Miura T., and Shioya I. 2006, Topic detection and tracking for news web pages. In Proc. 2006 IEEE/WIC/ACM Int. Conf. on Web Intelligence, pp. 338–342.

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  5. Ruifang H., Bing Q., Ting L., and Sheng L. The topic detection and tracking with topic sensitive language model. In Proc. Int. Conf. on Mutilingual Information Processing, 2005, pp. 324–327.

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Author information

Authors and Affiliations

  1. Microsoft Research Asia, Haidian, China

    Ning Liu

Authors
  1. Ning Liu
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Liu, N. (2009). Topic Detection and Tracking. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_430

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