A Web of Things Framework for RESTful Applications and Its Experimentation in a Smart City

Abstract

The Web of Things is as an active research field which aims at promoting the easy access and handling of smart things' digital representations through the adoption of Web standards and technologies. While huge research and development efforts have been spent on lower-level networks and software technologies, it has been recognized that little experience exists instead in modeling and building applications for the Web of Things. Although several works have proposed REST-inspired approaches for the Web of Things, a main limitation is that poor support is provided to web developers for speeding up the development of Web of Things applications, while taking full advantage of REST benefits. In this work we propose a framework which supports developers in modeling smart things as web resources, exposing them through RESTful APIs, and developing applications on top of them. The framework consists of a Web Resource information model, a middleware and tools for developing and publishing smart things' digital representations on the Web. We discuss main framework implementation choices and its compliance with REST guidelines. Finally, we report on our test activities carried out within the SmartSantander European Project to evaluate the use and proficiency of our framework in a smart city scenario.

Data Analysis as a Service: An Infrastructure for Storing and Analyzing the Internet of Things

“…This approach is not considered by this paper. As mentioned in the introduction, Paganelli et al [3] describes a lack of actually modelled and implemented applications as a major hole in the current research body. This paper also refers to a relatively large number of other papers proposing middleware and frameworks for designing applications in the Web of Things.…”

“…This is described in Palattella et al [4], which emphasises emerging industry alliances and IEEE/IETF working groups as the key to success. Finally, the pre-eminent concern of this paper is the gap of knowledge with regard to modelling and implementing complete IoT-oriented applications, as described by Paganelli, Turchi and Giuli [3]. This paper first revisits the current state of research on the fields of the Internet and Web of Things, respectively.…”

“…The prototype also provides RESTful non-real-time endpoints for externals to hook onto and use for more static purposes, like weekly Excel reports or similar. The implementation of this is based on Paganelli et al's [3] idea of treating each integration as a web resource and builds further on how to handle persisting time-series data in a document-database like MongoDB.…”

A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis

“…This openness and complexity have led to complex management of modern cities. Given that digital earth, smart city, and the development of related technologies are put forward, the management and decision-making support of urban social management are possible [8][9][10][11][12][13][14][15][16]. Importing the digital and intelligent means into the management of cities is the inevitable trend of modern urban social management [17][18][19].…”

An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities

“…Thus, IoTs are widely used in remote and real-time applications such as smart building management, smart parking and smart monitoring. Even world's giant companies like Google are producing development cards and cloud-based software solutions for IoT, and IoTs are expected to have a greater importance in our lives in the near future [11]. When the number of IoTs used in distributed architecture for different purposes, the amount of data they produce and the rate of data generation are taken into account, the resulting data type is considered as big data [12].…”