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Representing Temporal Knowledge for Case-Based Prediction

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Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

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Abstract

Cases are descriptions of situations limited in time and space. The research reported here introduces a method for representation and reasoning with time-dependent situations, or temporal cases, within a knowledge-intensive CBR framework. Most current CBR methods deal with snapshot cases, descriptions of a world state at a single time stamp. In many time-dependent situations, value sets at particular time points are less important than the value changes over some interval of time. Our focus is on prediction problems for avoiding faulty situations. Based on a well-established theory of temporal intervals, we have developed a method for representing temporal cases inside the knowledge-intensive CBR system Creek. The paper presents the theoretical foundation of the method, the representation formalism and basic reasoning algorithms, and an example applied to the prediction of unwanted events in oil well drilling.

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Author information

Authors and Affiliations

  1. Borak S.L., Ronda de Poniente N4, Tres Cantos CP, 28760, Madrid, Spain

    Martha Dørum Jære

  2. Artificial Intelligence Research Institute, IIIA, Spanish Council for Scientific Research CSIC, 08193, Bellaterra, Barcelona, Spain

    Agnar Aamodt

  3. Department of Petroleum Technology, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

    Pål Skalle

Authors
  1. Martha Dørum Jære
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  2. Agnar Aamodt
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  3. Pål Skalle
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Editor information

Editors and Affiliations

  1. School of Computing, The Robert Gordon University, St. Andrew Street, Aberdeen, AB25 1HG, Scotland, UK

    Susan Craw

  2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3UE, Scotland, UK

    Alun Preece

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© 2002 Springer-Verlag Berlin Heidelberg

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Jære, M.D., Aamodt, A., Skalle, P. (2002). Representing Temporal Knowledge for Case-Based Prediction. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_14

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  • DOI: https://doi.org/10.1007/3-540-46119-1_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

  • eBook Packages: Springer Book Archive

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