Title :
User-pattern analysis framework to predict future service in intelligent home network
Author :
Kim, Hak Soo ; Son, Jin Hyun
Author_Institution :
Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea
Abstract :
Recently, various networked sensors, devices, and appliances are evolving a smart home to support intelligent home network services. To support an intelligent home network, previous researches have used techniques such as the semantic context representation and reasoning by designing an ontology-based context model. These researches have some drawback in the intelligent home network environment which recognizes the patterns of various users and predicts future services. In this regard, we design the user-pattern analysis framework to support the intelligent home network services that intelligently provide future services along with user-patterns to a user. In addition, we propose the user-pattern analysis method using the semantic data mining.
Keywords :
data mining; home automation; ontologies (artificial intelligence); ubiquitous computing; user interfaces; intelligent home network; ontology-based context model; pervasive computing solutions; semantic context representation; semantic data mining; smart home; user-pattern analysis framework; Data mining; Home appliances; Home automation; Intelligent networks; Intelligent sensors; OWL; Ontologies; Pattern recognition; Smart homes; Vocabulary; OSGi; intelligent home network; semantic data mining;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358266
