摘要
从各种低层上下文信息得到对人们更加有用的高层上下文信息即上下文推理是当前研究的热点。针对该问题,采用描述逻辑,研究基于本体模型的上下文推理方法。首先简要介绍基于本体的上下文模型,该模型增加了对上下文特性的建模,然后分别研究基于本体的推理、基于规则的推理及不一致性验证3种推理方式,借助Jena框架的推理接口实现,推理功能全面,通用性强,基本满足了普适计算系统中上下文推理的需求,最后给出了推理的可用性。
How to get upper context information from various low context information as context reasoning becomes a hotspot. Aimed to this problem, the ontology-based context reasoning with the description logic is researched, firstly the ontology context model including the character model of the context is introduced, then ontological reasoning, rule-based reasoning and verifying conflicts is researched, and implemented with Jena, it＇ s comprehensive, universal and can better meet the application＇ s needs. At last the availability of the reasoning is verified.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第14期3409-3413,共5页
Computer Engineering and Design
基金
咸阳师范学院专项科研基金项目(07XSYK272)
关键词
普适计算
觉察上下文计算
本体模型
上下文推理
通用性
pervasive computing
context-awarecomputing
ontology model
context reasoning
universal
