DocumentCode
2554148
Title
Using context models in defining intelligent environment information
Author
Wu, Yu-Lin ; Liu, Alan ; Chang, Wei-Chen ; Li, Po-Sheng ; Chu, Hung-Lu ; Lee, Chiung-Hon Leon ; Hsu, Chih-Wei
Author_Institution
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2011
fDate
21-25 June 2011
Firstpage
1075
Lastpage
1080
Abstract
A context model is defined with information represented and gathered from sensors, user profile, environment and other sources. The main advantage of using ontology is the ability to express machine-interpretable definition on basic concept and interrelation that enables the reuse of the constructed context models. The method of analyzing and designing context ontology will influence the relationship between context information and expression of user activities. By analyzing events, the associated services are defined. Once an event occurs to a particular user with a context model, we provide appropriate services to the user by using the most similar event in context ontology to execute the rule-based system.
Keywords
knowledge based systems; ontologies (artificial intelligence); ubiquitous computing; context model; intelligent environment information; machine-interpretable definition; ontology; rule-based system; Cognition; Context; Context modeling; Ontologies; Prototypes; Sensors; Unified modeling language; Context Model; Intelligent Environment Information; Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970681
Filename
5970681
Link To Document