Towards a web of sensors built with linked data and REST

Bianchi

et al. 2013

JCOMSS

Radio Frequency Identification (RFID) techniques are considered relevant building blocks for the Internet of Things. The interoperability across different RFID software and hardware infrastructures is a key requirement for achieving effective and wide-scale Internet of Thing deployments. In this context, the EPC Information Service (EPCIS) is a set of standard specifications for sharing RFID-related data (i.e., EPC events) both within and across enterprises. Although the EPCIS specifies a set of HTTP and Web Service interfaces for querying and adding EPC events, interoperability and easiness of use is hindered by the fact that client applications should be aware of the repositories that are authoritative for one or more given queries and links among related events are not explicitly represented in response messages. In this paper we argue that, by leveraging emerging REST and Linked Data paradigms, EPC events can be handled as a graph of globally-addressable information resources that can be navigated, queried, and aggregated through a uniform interface and seamlessly across organization domains. To validate this approach, we have developed a prototype that exposes the EPCIS interfaces as a set of REST APIs. The prototype implementation exploits the information modeling and management capabilities provided by a framework, called InterDataNet (IDN), that we conceived and developed to ease the realization of the Web of Data and Linked Data applications.

Section: Introductionsupporting

confidence: 90%

“…These considerations led us to propose the IDN approach to manage EPCIS information. Our intent is to build a browsable graph of individually addressable EPCIS data to support information reuse and efficient exploitation [15].…”

Section: Information-centric Approach For Epcismentioning

confidence: 99%

An information-centric and REST-based approach for EPC Information Services

Paganelli¹,

Bianchi

et al. 2013

JCOMSS

“…In this section we describe the experiment carried out in the context of the SmartSantander EU Project. This experiment, previously introduced in [44], aimed at evaluating how our proposed approach supports developers and users in taking advantage of Web of Things resources, and more specifically, in designing and developing web applications that mediate the end-user interaction with these resources.…”

Section: Discussionmentioning

confidence: 99%

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

Paganelli

Giuli

2016

IEEE Systems Journal

Self Cite

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.

“…In this section we briefly present the InterDatNet information model and middleware (more details are available in previous works [10]- [12]) and discuss design and implementation of both resource-processing and event-driven capabilities.…”

Section: A Resource Model For the Web Of Thingsmentioning

confidence: 99%

“…The application context is the WoT, but the model is general and Web resources are not limited to smart objects representations. This graph-based information model is part of InterDataNet [10]- [12], a framework for handling graphs of individually addressable information units with navigation, query, and composition support.…”

Section: Introductionmentioning

confidence: 99%

Web-enabled processing of smart things resources for WoT applications

2014 Euro Med Telco Conference (EMTC)

Paganelli

Giuli

2014

Self Cite

The Web of Things is an active research field which aims at promoting Web standards and technologies adoption for handling smart things digital representations. In this context, many studies acknowledge that REST paradigm plays a decisive role, and this has prompted the emergence of systems for Web representation and management of real-world objects. However, objects exposure is only a first step. In fact, it is very likely that a client that exploits these representations to retrieve data from objects, also needs to process them. Typically, this processing is performed by an application which, in addition, has the burden of results exposure. In a data reuse perspective, these results are valuable: will they be re-exposed? If so, will they be exposed in a way enabling easy reuse? In this paper we present a graph model for RESTful publishing of Web resources in a WoT scenario and its implementation through the InterDataNet middleware. This graph model supports the definition of scriptable vertexes for processing other resources information. In this way, the paradigm is subverted: there is no need to set up an application to process smart objects information since the processing is externalized in a vertex of the resource model. Consequently, the RESTful exposure of results is utterly borne by the middleware. We also introduce an extension of the model to support event-driven capabilities.