Lightweight ontology in IoT architecture

Kovács, László; Csizmás, Edit

doi:10.1109/fiot.2018.8325591

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Another use of IoT systems is what Kovács & Csizmás (2018) [13] describes, stating that these systems, support decision-making at operational or tactical levels and increase flexibility and productivity [14,24] mean that IoT is enabled by the latest developments in RFID, smart sensors, communication technologies and Internet protocols.…”

Section: Literature Reviewmentioning

confidence: 99%

Automation Factors Influencing the Operation of IoT in Health Institutions: A Decision Support Methodology

Oddershede¹,

Macuada

Quezada

et al. 2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Health institutions are adopting new technologies for their processes through automation by means of the concept of "Internet of Things" (IoT). Hence, offering innovative tools, applications and technology for the collection of key data and information, which is then integrated and consolidated, covering the different systems and their collaborators. The necessity of receiving quality medical services is essential in the public Policy of any country. The increasing demand for having an adequate number of medical specialists, pharmacies and medications stock, dental and mental health coverage and other, together with the minimization of the waiting list and patient care time have been a crucial concern. Under this context, it is valuable to redesign the processes planning and its coordination through the use of Information & Communications Technology (ICT) and IoT that unifies the systems. Based on previous research, the general purpose is to generate a system model to examine healthcare quality of service and corroborate its effectiveness in a real environment. The aim of this paper focus on the development of a decision support model to define key areas where the inclusion of IoT would sustain the efficiency in health care service. The research methodology is based on case study, integrating planning processes, data analysis, scoring method that interacts with multicriteria approach. A pilot case study is pursued in health institutions in Chile, determining critical factors and the current automation level system appraisal to generate actions of improvement in processes that show poor service quality. The results give rise to the development of an investment plan that can be converted into action plans for a health institution.

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Section: Literature Reviewmentioning

confidence: 99%

Automation Factors Influencing the Operation of IoT in Health Institutions: A Decision Support Methodology

Oddershede¹,

Macuada

Quezada

et al. 2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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“…Semantics and ontologies have been part of IoT from the beginning and enable the automation of IoT devices (Kovacs and Csizmas 2018;Fattah and Chong 2018). The most prominent examples of IoT ontologies are the semantic sensor network ontology (Haller et al 2017), the web of things (WOT) by Kaebisch et al (2019), IoT-lite (Bermudez-Edo et al 2015), smart appliances reference (SAREF) ontology (Roes et al 2015), IoT ontology (Kotis and Katasonov 2012), and IoT-O (Seydoux et al 2016).…”

Section: Related Workmentioning

confidence: 99%

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Kim

Yun

et al. 2019

J Ambient Intell Human Comput

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There is a large variety of Internet of things (IoT) devices and their peripherals available in consumer markets, and IoT deployers should work on customizing device drivers that are compatible with their peripherals. Implementing compatible device drivers, however, often requires a burden of work. This paper proposes a generic platform that enables plug-and-play (PnP) integration for sensors and actuators to allow the addition and removal of IoT device peripherals without re-customizing all the device drivers. To this end, we employ IoT ontologies and semantics to represent IoT device characteristics and to infer IoT device behaviors. IoT device behavior is then passed to the generic device driver to cover device-specific operation. Since the generic device driver selectively operates most of the available function calls required in IoT devices, most of the programming work that is normally required for device customization is removed, and management overhead for software installation and maintenance can be minimized. To this end, we employ IoT ontologies and semantics as well as generic programming techniques in the generic platform in order to configure and control IoT devices. In the proposed platform, IoT device characteristics, including I/O functions and configuration rules, are defined using custom-built IoT ontologies, and operational behaviors are inferred through SPARQL queries. The generic platform then passes function-call name and configuration rules corresponding to the newly added peripheral device's specification. The experimental results show that our generic platform covers most of the popular sensors available in the market. Our solution therefore enables a true PnP experience of sensors and actuator peripherals in IoT devices.

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