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KMi Seminars
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.

 
KMi Seminars
 

Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.