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Event Handling Mechanism for Retrieving Spatio-temporal Changes at Various Detailed Level

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Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3533))

Abstract

We propose an event handling mechanism for dealing with spatio-temporal changes. By using this mechanism, we can observe changes of features at diverse viewpoints. We formalize an event that changes a set of features. The relation between events has a hierarchical structure. This structure provides observations of spatial changes at various detailed level.

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References

  1. Peuquet, D., Duan, N.: An event-based spatiotemporal data model (estdm) for temporal analysis of geographical data. International Journal of Geographical Information Systems 9, 7–24 (1995)

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Author information

Authors and Affiliations

  1. Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan

    Masakazu Ikezaki, Naoto Mukai & Toyohide Watanabe

Authors
  1. Masakazu Ikezaki
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  2. Naoto Mukai
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  3. Toyohide Watanabe
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  2. Dipartimento di Informatica, Università degli Studi di Bari,  

    Floriana Esposito

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© 2005 Springer-Verlag Berlin Heidelberg

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Ikezaki, M., Mukai, N., Watanabe, T. (2005). Event Handling Mechanism for Retrieving Spatio-temporal Changes at Various Detailed Level. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_48

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  • DOI: https://doi.org/10.1007/11504894_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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