Context aware system and context aware method thereof

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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C706S045000

Reexamination Certificate

active

08010478

ABSTRACT:
A context aware system and a context aware method thereof perform a reasoning to be aware of contexts in ubiquitous environments. The context aware method includes procedures of modeling a knowledge base describing context information including constraints; classifying the context information described in the knowledge base according to the constraints; filtering fact data having same constraints as input sensor data from the classified context data; storing only rules, which satisfy the filtered fact data and constraints, in an working memory; and inferring a service context by reasoning the stored fact data and rules. The method receives input sensor data, associated with a subject, continuously monitored and serviced by indoor sensors, performs a reasoning based upon the input sensor data, in order to be aware of the present contexts of the subject and also provide, in real-time, a service suitable for the present contexts, thereby promoting the convenience of life.

REFERENCES:
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Tsuruoka, et al, Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint, CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003—vol. 4, pp. 127-134.
Veeramachaneni, et al, Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, No. 7, Jul. 2007, pp. 1280-1285.
Wang, et al, A Study on the Document Zone Content Classification Problem, DAS 2002, LNCS 2423, pp. 212-223.

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