Complex Sensor Mashups for Linking Sensors and Formula-based Knowledge Bases

被引:2
|
作者
Ro, Wonwoo [1 ]
Park, Giyong [1 ]
Chun, Sejin [1 ]
Lee, Kyong-Ho [1 ]
机构
[1] Yonsei Univ, Dept Comp Sci, Seoul, South Korea
来源
2015 IEEE 16TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION | 2015年
关键词
Internet of things; complex sensor; physical mashup; knowledge base; semantic model;
D O I
10.1109/IRI.2015.29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.
引用
收藏
页码:126 / 133
页数:8
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