Development of a data representation model for internet of things and its storage in the cloud platform

Semantic modelling for the Internet of Things has become the basis for solving the problem of interoperability, given the distributed and heterogeneous nature of "objects". While most of the current research focuses primarily on modelling devices and services, research has also made little effort on describing in the common format for accessing, using, and analysing information generated by objects. However, most of the Internet of Things solutions suffer from the lack of working in distributed environments and the inability to manage data from different test environments. Today, cloud applications can be shown as a solution to these problems with its platform-independent structure and flexible scaling features. In this study, data models that are developed specifically to application areas of Internet of Things in the literature were examined and an abstraction layer model was created purpose of describing data from heterogeneous environments as much as possible. In addition, a tool has been developed to transfer cloud-based examples of data represented on the model developed using the Google Cloud Platform service Google App Engine (GAE). With the established structure, different types of data coming from regional devices will be obtained and managed in a central structure.