By Jeong Seok Oh, Jang Sik Park, Jeong Rock Kwon (auth.), Juan Carlos Augusto, Juan M. Corchado, Paulo Novais, Cesar Analide (eds.)
ISAmI is the overseas Symposium on Ambient Intelligence, aiming to collect researchers from numerous disciplines that represent the clinical box of Ambient Intelligence to provide and speak about the newest effects, new principles, tasks and classes acquired from fresh reviews in development AmI structures. This quantity offers the papers which were approved during this first variation. those papers reviews on leading edge effects and advances completed lately during this area.
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Extra resources for Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010)
Fi/o#” in this statement. org/2001/XMLSchema#dateTime"> 2010-03-25T16:21:40 Low level inference can be performed based on this RDF statement and an ontology. m. is assumed to go home. The embedded reasoner on ontology-enabled device deduces that John Smith is going home, and starts to send GPS data to the server. 06"] This packet can also be transformed into a RDF statement. In this scenario, high level inference can be applied for interaction among multiple devices.
Intelligent Environments are supposed to act proactively anticipating users’ needs and preferences in order to provide effective support. Therefore, learning users’ frequent behaviours is essential to provide such personalized services. In that sense, we have developed a system, which learns those frequent behaviours. Due to the complexity of the entire learning system, this paper will focus on discovering accurate temporal relationships to define the relationships between actions of the user. Keywords: Ambient Intelligence, Learning patterns, Temporal relations.
Temporal data mining for smart homes. D. ) Designing Smart Home. The Role of Artificial Intelligence, pp. 85–108. Springer, Heidelberg (2006) 6. : Discovering of frequent sets of actions in intelligent environments. In: Proceedings of the 5th International Conference on Intelligent Environments, pp. 153–160 (2009) 7. : Automatic modeling of frequent user behaviours in intelligent environments. In: Proceedings of the 6th International Conference on Intelligent Environments (Submitted, 2010) 8.
Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010) by Jeong Seok Oh, Jang Sik Park, Jeong Rock Kwon (auth.), Juan Carlos Augusto, Juan M. Corchado, Paulo Novais, Cesar Analide (eds.)