Abstract—The rapid development of Internet of things (IoT)
technology makes it possible for connecting various smart objects
together through the Internet and providing more data interoperability
methods for application purpose. Recent research shows more
potential applications of IoT in information intensive industrial
sectors such as healthcare services. However, the diversity of the
objects in IoT causes the heterogeneity problem of the data format
in IoT platform. Meanwhile, the use of IoT technology in applications
has spurred the increase of real-time data, which makes the
information storage and accessing more difficult and challenging. In
this research, first a semantic data model is proposed to store and
interpret IoT data. Then a resource-based data accessing method
(UDA-IoT) is designed to acquire and process IoT data ubiquitously
to improve the accessibility to IoT data resources. Finally, we
present an IoT-based system for emergency medical services to
demonstrate how to collect, integrate, and interoperate IoT data
flexibly in order to provide support to emergency medical services.
The result shows that the resource-based IoT data accessing method
is effective in a distributed heterogeneous data environment for
supporting data accessing timely and ubiquitously in a cloud and
mobile computing platform.