Incremental Knowledge Construction for Real-World Event Understanding

Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai and Takeshi Okadome
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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

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2010, vol. 4, issue 1, 65-79

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.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:4:y:2010:i:1:p:65-79

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