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- W2080198154 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." @default.
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- W2080198154 date "2010-01-01" @default.
- W2080198154 modified "2023-09-26" @default.
- W2080198154 title "Incremental Knowledge Construction for Real-World Event Understanding" @default.
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- W2080198154 doi "https://doi.org/10.4018/jcini.2010010104" @default.
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