Title :
An Ontology-Based Approach to Context Modeling and Reasoning in Pervasive Computing
Author :
Ejigu, Dejene ; Scuturici, Marian ; Brunie, Lionel
Author_Institution :
Lab. LIRIS-UMR-CNRS, INSA de Lyon
Abstract :
The behavior of pervasive applications should depend not only on their internal state and user interactions but also on the context sensed during their execution. In this paper, we propose an ontology-based generic context management (GCoM) model. The GCoM model facilitates context reasoning by providing structure for contexts, rules and their semantics. Context and context semantics in GCoM model are represented using the upper and the lower level ontology. Rules are represented using ontology compatible rule languages. Even though ontology data has static nature, GCoM model is designed to be dynamic and reusable in multiple domains of pervasive applications where resource limitation is a key issue. Initial prototype of the use of the model is created and the result obtained is promising
Keywords :
ontologies (artificial intelligence); ubiquitous computing; context modeling; ontology compatible rule languages; ontology-based approach; ontology-based generic context management; pervasive computing; Application software; Computer networks; Context awareness; Context modeling; Context-aware services; Distributed computing; Handheld computers; Object oriented modeling; Ontologies; Pervasive computing; context management; context modeling; context reasoning; context-aware computing; pervasive computing;
Conference_Titel :
Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
Conference_Location :
White Plains, NY
Print_ISBN :
0-7695-2788-4
DOI :
10.1109/PERCOMW.2007.22