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Incremental Knowledge Construction for Real-World Event Understanding

Incremental Knowledge Construction for Real-World Event Understanding

Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome
Copyright: © 2010 |Volume: 4 |Issue: 1 |Pages: 15
ISSN: 1557-3958|EISSN: 1557-3966|ISSN: 1557-3958|EISBN13: 9781616929312|EISSN: 1557-3966|DOI: 10.4018/jcini.2010010104
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MLA

Kamei, Koji, et al. "Incremental Knowledge Construction for Real-World Event Understanding." IJCINI vol.4, no.1 2010: pp.65-79. http://doi.org/10.4018/jcini.2010010104

APA

Kamei, K., Yanagisawa, Y., Maekawa, T., Kishino, Y., Sakurai, Y., & Okadome, T. (2010). Incremental Knowledge Construction for Real-World Event Understanding. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 4(1), 65-79. http://doi.org/10.4018/jcini.2010010104

Chicago

Kamei, Koji, et al. "Incremental Knowledge Construction for Real-World Event Understanding," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 4, no.1: 65-79. http://doi.org/10.4018/jcini.2010010104

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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.

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