Rule Generation and Matchmaking in Context-Aware System
This event took place on Wednesday 18 March 2009 at 11:30
Dong Liu
Aiming at solving the problem that rules in the existing context-aware systems are manually specified by developers or users, an automatic rule generation method is proposed. Context-aware systems are regarded as decision systems, and context information are reduced with discernibility matrix so as to generate rules. Because data can be utilized are limited, the generated rules can not entirely cover the domains of contexts. The rule precisely matches the current context probably does not exist. An ontology-based rule matching algorithm is presented as the solution to this problem.
This event took place on Wednesday 18 March 2009 at 11:30
Aiming at solving the problem that rules in the existing context-aware systems are manually specified by developers or users, an automatic rule generation method is proposed. Context-aware systems are regarded as decision systems, and context information are reduced with discernibility matrix so as to generate rules. Because data can be utilized are limited, the generated rules can not entirely cover the domains of contexts. The rule precisely matches the current context probably does not exist. An ontology-based rule matching algorithm is presented as the solution to this problem.
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