Semantic-enhanced living labs for better interoperability of smart cities solutions

Abstract

The Institute of Electrical and Electronics Engineers defines a smart city as a city that brings together technology, government and society to enable the following characteristics: smart economy, smart mobility, smart environment, smart people, smart living, and smart governance <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> . This and other definitions for smart cities emphasize the need for interoperability between systems. Interoperabilty between systems is highly influenced by the ability of sharing and exchanging data across different tools and platforms. Living labs aim to support an agile development and implementation of technology to accelerate innovation in cities [1]. The University of Guadalajara (UDG) Living Lab aims to provide fast prototyping of Internet of Things (IoT) devices, open data repositories based in open standards, data analytics and visualization tools to support the development of smart cities solutions. UDG Living Lab was designed with the following principles: scalability, interoperability, modularity, resilience, and security [2]. In this paper, we describe our initial efforts in annotating and sharing data generated by the UDG Living Lab for its reuse in Smart Cities applications. This work is part of the activities of the International Interdisciplinary Consortium for Smart Cities created in 2015 by researchers at The University of Texas at El Paso (UTEP, US), Universidad de Guadalajara (UDG, Mexico), and Czech Technical University (CTU, Czech Republic) [3].