Extending INSPIRE to the Internet of Things through SensorThings API

Kotsev, Alexander; Schleidt, Katherina; Liang, Steve H. L.; Schaaf, Hylke van der; Khalafbeigi, Tania; Grellet, Sylvain; Lutz, Michael; Jirka, Simon; Beaufils, Mickaël

doi:10.20944/preprints201805.0031.v1

Cited by 13 publications

(7 citation statements)

References 3 publications

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“…The rapid growth of the IoT and the emergence of new technologies (e.g. remote sensing, 4G/5G communication, machine-to-machine and machine-to-human interactions) brought new challenges such as (i) the need for lightweight data encoding, (ii) the need for higher bandwidth for data exchange, and (iii) the issue of constrained devices with little or no computational capabilities, such as RFID tags and QR codes (Kotsev et al 2018). These challenges acted as a driver for the OGC and led to adoption of new standards that better fit the IoT.…”

Section: Iot Standards Initiatives From Dementioning

confidence: 99%

Internet of Things

Granell

Kamilaris

Kotsev

et al. 2019

Manual of Digital Earth

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Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things (IoT) emerged as a holistic proposal to enable an ecosystem of varied, heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today's pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth. Keywords Internet of Things • Geospatial standards • Smart scenarios The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission.

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Section: Iot Standards Initiatives From Dementioning

confidence: 99%

Internet of Things

Granell

Kamilaris

Kotsev

et al. 2019

Manual of Digital Earth

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“…[6, p 731] The SensorThings API [7] defined by the Open Geospatial Consortium (OGC) seeks to define a rich framework to achieve horizontal IoT systems integration. The SensorThings API is still evolving but its approach is gaining wide acceptance within the IoT community [8]. In this paper we examine the SensorThings API data model against Gahegan & Pike's challenges.…”

Section: A Conceptual Modeling Challengesmentioning

confidence: 99%

Extending Two-level Information Modeling to the Internet of Things

Stacey

Berry

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

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Interoperability is a major challenge for the Internet of Things (IoT). The real potential of the IoT lies in facilitating largescale sharing of high-quality context-rich information through systems-of-IoT-systems, rather than IoT systems that operate as isolated technology silos. Real large-scale interoperability requires layers of standards, and each layer addresses different interoperability challenges. The SensorThings API data model seeks to tackle data interoperability at the data and informational layers of IoT platforms. SensorThings API is aligned to the ISO/OGC O&M data standard, and like O&M it is semistructured. Semi-structured models allow for variance within implementations for different use-cases, which is both necessary and detrimental to systems interoperability. In this paper we propose that the SensorThings API data model should be defined as a set of archetypes, used to capture extensible domain concepts using a two-level modeling IoT systems design approach. Extending two-level modeling to the IoT using the SensorThings API as a base for domain concepts definition allows for a powerful framework to manage variance within systems implementation and maintaining semantic interoperability within systems-of-IoT-systems across diverse use-cases.

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“…In synthesis, the two approaches can be seen as complementary to each other, the main difference being the reactive nature of SOA request/reply pattern, as compared to the proactive nature of EDA, characterized by the publish/subscribe interaction, described in the following section. Within this context, a recent activity [13] investigates the use of the OGC SensorThings API as an INSPIRE download service.…”

Section: Spatial Data Infrastructuresmentioning

confidence: 99%

“…The proposed architecture we introduced in the INSIGHT project 13 [54] has been inspired by the TechniBall system [55] and follows the Lambda architecture design principles for Big Data systems [56]. A sketch of the architecture and the interconnection among the components is presented in Figure 8, a comparison to other event processing frameworks can be found in [5].…”

Section: Architectural Approachmentioning

confidence: 99%

GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

Rieke¹,

Bigagli²,

Herlé³

et al. 2018

Preprint

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Abstract:The nature of contemporary Spatial Data Infrastructures lies in the provision of geospatial information in an on-demand fashion. Though recent applications identified t he n eed t o react to real-time information in a time-critical way. In particular, research efforts in the field of geospatial Internet of Things have identified substantial gaps in this context, ranging from a lack of standardization for event-based architectures to the meaningful handling of real-time information as "events". This manuscript presents work in the field of Event-driven Spatial Data Infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of Spatial Data Infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches -developed in different research projects -to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall Event-driven Spatial Data Infrastructure.

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Extending INSPIRE to the Internet of Things through SensorThings API

Cited by 13 publications

References 3 publications

Internet of Things

Internet of Things

Extending Two-level Information Modeling to the Internet of Things

GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

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