Towards an IoT framework for semantic and organizational interoperability

Žarko, Ivana Podnar; Σούρσος, Σέργιος; Gojmerac, Ivan; Ostermann, Elena Garrido; Insolvibile, Gianluca; Płóciennik, Marcin; Reichl, Peter; Bianchi, Giuseppe

doi:10.1109/giots.2017.8016253

Cited by 19 publications

(8 citation statements)

References 6 publications

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“…Normalization Player IoMT Application Interoperability Approach Clarke et al [25] Data Source Personal Health Devices Zigbee and IEEE 11073-based Lubamba and Bagula [13] Data Sink Cyber Healthcare Cloud HL7-CDA Standard-based Reilent et al [30] Central Resource Personal Health Records HL7 v3 protocol Alzghoul et al [19] Web-Centric Middleware Electronic Health Records HL7 CDA Khalique et al [31] Central Resource Nation-wide Health Repository HL7-based Jabbar et al [24] Centralized Service Heterogeneous IoT devices Semantic Interoperability Garai and Adamko [27] Cloud based Consumer Electronics Interoperability Syntactic, Semantic Boutros-Saikali et al [21] Cloud based IoMT Platform Scriptr.io service Roehrs et al [32] Middleware Integration of Personal Health Record Semantic Interoperability Georgi et al [33] Middleware Data access from Health Sensors Sementic Interoperability Ivanov et al [34] Middleware Connectivity Platform for IoMT OpenICE-Lite Moustafa et al [26] Edge-Cloud Remote Monitoring Iotivity Software Stack Derhamy et al [35] Cloud/Fog Server, Industrial Internet of Things Multiprotocol Translator Negash et al [36] Cloud and Fog IoT through Web of Virtual Things Technical, Syntactic, Semantic Gia et al [37] Fog-based Health-care IoT System No Interoperability Rahman and Hussain [38] Fog-based Interoperability in IoT Semantic Ahmed et al [39] Multilayer, Modular Interoperability IoT Hub Syntactic, Semantic, Communication Zarko et al [40] IoT Federation IoT Framework Sementic, Organizational Cintuglu et al [41] Hierarchical Hierarchical Microgrid Control Multiagent based…”

Section: Research Workmentioning

confidence: 99%

“…Ahmed et al [39] presented a multilayer, modular IoT Hub that offers syntactic, semantic, communication interoperability. Zarko et al [40] proposed an architecture to provide interoperability that was built around the hierarchical stack of application, cloud, smart space, and device domain for providing connectivity between different resources, like sensors, actuators, gateway, and cloud. Cintuglu et al [41] developed real-time test cases for the interoperability of the multiagent system.…”

Section: ) Fog-and Edge-based Interoperabilitymentioning

confidence: 99%

“…Step 7Step 10 [41,40]. However, the LRM can run out of computing resources when participating devices have diverse data formats and when sink devices are subscribing at a higher frequency, or subscribing to many source devices.…”

Section: Translatormentioning

confidence: 99%

“…Shown in Figures 11 and 12, the simulations were performed for three configurations, M − 0, M − x and M − All. Here M − 0 represents a configuration without the collaborative framework of MeDIC and is similar to schemes proposed in [39,40,41]. It is evident from the results that as the number of devices in an IoMT grows, the resourcebottlenecks manifest themselves in aggravated response time and uplink traffic.…”

Section: Comparison With Related Workmentioning

confidence: 99%

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Towards Medical Data Interoperability Through Collaboration of Healthcare Devices

et al. 2020

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In the era of smart devices and connected neighborhoods, the ubiquitous monitoring and care of patients are possible with the Internet of Medical Things (IoMT). Smart healthcare devices may serve their purpose well when they are able to share patient's data with each other. However, data formats vary widely across vendors, rendering these devices not interoperable. Recent solutions mostly rely on cloud services where a source device uploads the data, and the sink devices download it conforming to their own native formats. However, the quality of service is expected to deteriorate in a cloud processing regime with inherent network delays and traffic congestion, and the real-time data acquisition and manipulation is, therefore, not possible. This article presents MeDIC, a framework of Medical Data Interoperability through Collaboration of healthcare devices. MeDIC improves over a cloud-based IoMT by utilizing translation resources at the network edge, with its probing and translating agents. The probing agents maintain a capability list of MeDIC devices within a local network and enable one MeDIC device to request data conversion from another device when the former is not capable of this conversion by itself. The translating agent of the later then converts the data into the required format and returns it to the former. These novel agents allow IoMT devices to share their redundant computing resources for data translations in order to minimize cloud accesses. Legacy devices are supported through MeDIC-enabled, fog resource managers. We evaluate MeDIC in four use cases with rigorous simulations, which prove that this collaborative framework not only reduces the uplink traffic but also improves the response time, which is critical in real-time medical applications.

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Section: Research Workmentioning

confidence: 99%

Section: ) Fog-and Edge-based Interoperabilitymentioning

confidence: 99%

Section: Translatormentioning

confidence: 99%

Section: Comparison With Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Towards Medical Data Interoperability Through Collaboration of Healthcare Devices

et al. 2020

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“…For example, level 2 (L2) enables platforms to interact with each other using an interworking interface. 7,8 Finally, VICINITY connects IoT environments with decentralized interoperability. In this solution, things are connected to a social network named ''virtual neighborhood,'' where the owners of things control their resources using the VICINITY neighborhood manager (VNM).…”

Section: Related Workmentioning

confidence: 99%

AFaaS: Authorization framework as a service for Internet of Things based on interoperable OAuth

Kim

2020

International Journal of Distributed Sensor Networks

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Internet of Things has become a fundamental paradigm in our everyday lives. However, standards and technologies are often designed without considering interoperability, which is a critical issue for Internet of Things. Internet of Things environment requires interoperability to share resources (e.g. data and services) between heterogeneous Internet of Things domains. The open authorization (OAuth) 2.0 framework that is actively used in Internet of Things (as well as in conventional web environments) also did not focus on interoperability. In other words, the systems that implement the same OAuth 2.0 standard cannot interoperate without additional support. For this reason, we propose an authorization framework as a service. Authorization framework as a service provides an additional authorization layer to support standard authorization capabilities as an interoperable secure wrapper between different domains. Besides, authorization framework as a service supports the four extended authorization grant flow types to issue an interoperable access token, which has a global access scope across multiple heterogeneous domains. With the authorization framework as a service, interoperability can be supported for heterogeneous domains, and token management can also be simple because an interoperable access token can represent several existing access tokens that have local access scopes. Furthermore, this article presents a feasible interoperability scenario, implementation, and security considerations for authorization framework as a service, focusing on Internet of Things platforms.

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Importance of semantic interoperability in smart agriculture systems

Khatoon

Ahmed

2022

Trans Emerging Tel Tech

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The Internet of Things (IoT) connects people with real-world objects to exchange data. It is performed using services and devices present in the user's activities based on the IoT. Based on a common vocabulary or mappings, knowledge and information can be exchanged by different agents, services, and devices in this scenario. The heterogeneous sources can be represented and integrated by an ontology. The Semantic Web offers semantic interoperability that facilitates communication between heterogeneous devices and technology platforms. The state-of-the-art of IoT semantic interoperability is assessed and reviewed in this work. The importance and challenges of interoperability are discussed in detail with an in-depth analysis of the requirements. IoT based semantic interoperability model is discussed with semantic annotations of data required for heterogeneous IoT devices. Additionally, it has been presented which Semantic Web technologies are incorporated, and the challenges have been studied in this research area. Agriculture is a domain where IoT applications have a lot of potentials. The market is filled with several devices that collect data from the farms and send it to the cloud. Semantic Web technology for applications in agriculture has been discussed in detail with data integration. Semantic resources for agriculture have been enlisted with linked data hubs and semantic data standards. The article aims to address the need and requirement of IoT with semantic interoperability in the field of agriculture. The use of IoT interoperability in agriculture can bring long term benefits to the farmers and increase productivity while reducing the overall costs incurred.

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Towards an IoT framework for semantic and organizational interoperability

Cited by 19 publications

References 6 publications

Towards Medical Data Interoperability Through Collaboration of Healthcare Devices

Towards Medical Data Interoperability Through Collaboration of Healthcare Devices

AFaaS: Authorization framework as a service for Internet of Things based on interoperable OAuth

Importance of semantic interoperability in smart agriculture systems

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