语用网驱动的上下文感知系统设计

Pragmatic Web driven context-aware system design

针对传统的语义网本体和上下文感知系统不适合处理现实世界中动态知识这一问题,借鉴了语用网在表达动态知识方面的优势,提出了语用网驱动的上下文感知系统,设计了语用网驱动的上下文感知系统框架。该系统采用了一种高效、新颖的上下文获取技术,可以更加准确地捕获用户的真实意图,并在此基础上通过推理得到具有决策能力的高层上下文。最后通过基于智能体的上下文感知服务发现方法,实现"以用户为中心"的个性化推荐服务。

There is a lot of dynamic knowledge in real world,the traditional semantic Web ontology and context-aware system were not suitable to deal with the dynamic knowledge. To solve this problem,this paper proposed a pragmatic Web driven context-aware system by virtue of the advantage of pragmatic Web in expressing dynamic knowledge,and designed its framework.This system employed an efficient context capturing technique to improve the accuracy of captured context information,and deduced the high-level context with decision capability by reasoning. Finally,achieving user-centric personalizes recommendation service by a method of agent based context-aware service discovery.