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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
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.