Semantic Interoperability and Open IoT APIs for Smart Cities Applications

Abstract

As the percentage of the total population living in urban regions is increasing, new challenges for the cities of the future arise. Smart Cities emerged as a solution to these challenges building on the strength of intelligent information, communication technologies and Internet of Things. In this work, we discuss the importance of semantic technologies as well as open IoT APIs for the future Smart Cities applications. Through an illustrative application, we demonstrate that both of the aforementioned technologies ease the computational burden of implementation, foster programming sustainability and create the necessary conditions so as to rapidly harness the available information and extract knowledge out of it. At the same time, the application's implementation lies in accordance with the latest IoT architectural recommendations such as Visual Programming interfaces for Service Composition, conformance with Big Data technologies and the latest IoT programming paradigms.

Integration of Mobile Gis and Linked Data Technology for Spatio-Temporal Transport Data Model

“…Information such as travel time and real traffic time is made available by navigation services through provided application program interfaces (APIs) (Kolyvakis et al 2018). Data provided by navigation services have characteristics like lower price and easy to acquire overcome traditional data gathered through cameras and sensors.…”