Context data-driven approach for ubiquitous computing applications

Author

Benazzou, Yazid ; Beaune, Philippe ; Ramparany, Fano ; Chotard, Laure

Author_Institution

Orange Labs., ENSM-SE, Orange, France

fYear

2009

fDate

1-4 Nov. 2009

Firstpage

1

Lastpage

6

Abstract

Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and Web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on semantic Web technologies for ubiquitous computing applications. This model facilitates the specification of context data to be easy interpreted by applications and services. In addition, this model is supported by existing communications protocols. Therefore, our context data model is applied to promote mining of context data towards service adaptation in ubiquitous computing systems.

Keywords

data mining; data models; semantic Web; ubiquitous computing; Web services; context data collection; context data mining; context data model; context data storage; context data-driven approach; context-aware application; semantic Web; service adaptation; ubiquitous computing application; Context modeling; Context-aware services; Data models; Environmental factors; Erbium; Power system modeling; Quality of service; Temperature distribution; Ubiquitous computing; Unified modeling language;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Information Management, 2009. ICDIM 2009. Fourth International Conference on

Conference_Location

Ann Arbor, MI

Print_ISBN

978-1-4244-4253-9

Electronic_ISBN

978-1-4244-4254-6

Type

conf

DOI

10.1109/ICDIM.2009.5356771

Filename

5356771