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Incremental Knowledge Construction for Real-World Event Understanding

Author

Listed:
  • Koji Kamei

    (ATR Intelligent Robotics and Communication Laboratories, Japan)

  • Yutaka Yanagisawa

    (NTT Communication Science Laboratories, Japan)

  • Takuya Maekawa

    (NTT Communication Science Laboratories, Japan)

  • Yasue Kishino

    (NTT Communication Science Laboratories, Japan)

  • Yasushi Sakurai

    (NTT Communication Science Laboratories, Japan)

  • Takeshi Okadome

    (Kwansei Gakuin University, Japan)

Abstract

The construction of real-world knowledge is required if we are to understand real-world events that occur in a networked sensor environment. Since it is difficult to select suitable ‘events’ for recognition in a sensor environment a priori, we propose an incremental model for constructing real-world knowledge. Labeling is the central plank of the proposed model because the model simultaneously improves both the ontology of real-world events and the implementation of a sensor system based on a manually labeled event corpus. A labeling tool is developed in accordance with the model and is evaluated in a practical labeling experiment.

Suggested Citation

  • Koji Kamei & Yutaka Yanagisawa & Takuya Maekawa & Yasue Kishino & Yasushi Sakurai & Takeshi Okadome, 2010. "Incremental Knowledge Construction for Real-World Event Understanding," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 4(1), pages 65-79, January.
    • Handle: RePEc:igg:jcini0:v:4:y:2010:i:1:p:65-79
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