摘要
基于异构数据源的事件检测是物联网上的一类典型应用。现有技术已经可以实现对异构数据源的收集、过滤、表示及部分数据的低层次融合和分析,但对于隐藏结论获取等高层次信息融合仍然需要人工参与。针对这种情况,给出了基于轻量级描述逻辑εL++的传感器网络事件检测方法,实现特定领域事件的实时自动检测。首先,针对传感器网络中的具体场景,用εL++对传感器网络领域知识进行刻画;然后应用描述逻辑对待判定事件进行形式化描述;最后借助描述逻辑推理机制实现事件的自动检测。该方法充分发挥了描述逻辑的知识表示和推理能力,能够基于领域知识和具体数据进行自动的事件检测。
Event detection based on heterogeneous data sources is a typical application in the environment of internet of things. Existing technology can fulfill the collection, filtering and presentation of data from heterogeneous data sources, and also support some data's fusion and analysis in low level. However, the obtainment of domain specific knowledge and automatically drawing hidden conclusions still require human intervention. For this case, this paper presented an in- telligent method based on εf++ to fulfill automatic detection of events in sensor networks. Firstly, we introduced specific scene about the sensor network and described its domain knowledge with the lightweight description logic εf++. Secondly, we definited event that is to be judged according to its complexity. Finally, we used an instance to check the proposed method. This method takes full advantage of description logic' s clear semantics and good reasoning ability and can give the right results with domain specific knowledge and concrete data.
出处
《计算机科学》
CSCD
北大核心
2016年第12期269-272,286,共5页
Computer Science
基金
国家自然科学基金(61363030
61572146
U1501252)
广西自然科学基金(2015GXNSFAA139285)
广西高等学校高水平创新团队及卓越学者计划
桂林电子科技大学研究生教育创新计划(YJCXS201539)资助
关键词
物联网
异构数据源
传感器网络
描述逻辑
事件检测
Internet of things, Heterogeneous data sources, Sensor network, Description logic, Event detection