This paper proposes a context model which separates the upper and lower layer according to characteristic of each class using the Web Ontology Language (OWL). We also present a Context-Aware Multi-Agent System (CAMAS) architecture which provides the solution of policy problem using the classification of rule and implementation of a rule-based engine. We enhance the response time for offering adaptive services. We solve the policy conflict problem among users by using reasoning and privilege delegation.
Index Terms:
context-aware, reasoning engine, classification of class and rule, policy solution
Citation:
Yoonsik Uhm, Zion Hwang, Minsoo Lee, Yong Kim, Gwanyeon Kim, Sehyun Park, "A Context-Aware Multi-Agent System for Building Intelligent Services by the Classification of Rule and Ontology in a Smart Home," lcn, pp.203-204, 32nd IEEE Conference on Local Computer Networks (LCN 2007), 2007