The Smart-M3 Platform: Experience of Smart Space Application Development for Internet of Things

Korzun, Dmitry; Kashevnik, Alexey; Balandin, Sergey; Smirnov, Alexander

doi:10.1007/978-3-319-23126-6_6

Cited by 31 publications

(12 citation statements)

References 21 publications

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“…The novelty of the solution comes from the fact that combining the two components (RE and SQenIoT), the rules do not refer to specific devices ID's but to concepts, thus making the rules valid even in the case of future sensors replacements. A novel publish-subscribe architecture aiming to support interoperability at information level, introduced in [70], extends the Smart-M3 semantic interoperability platform for smart spaces [71]. With a case study related to worksafety regulation compliance, an Open Semantic Framework (OSF) is introduced in [63].…”

Section: Review On Data Quality Evaluation In Cyber Physical Systemsmentioning

confidence: 99%

Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

et al. 2019

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This paper introduces a unified representation for collaborative development of complex services in public safety to explain the infusion of digital technologies into the design of the community resilience processes with respect to the potential hazardous events. It aims at helping to understand how ICT-based knowledge may help stakeholders situated in various positions inside society to participate collaboratively to service development actions. It presents a roadmap to conceive, design, and operationalize the creation of digital artefacts to compound its supporting systems, including the digital one. This representation includes a way of describing the domain of interest to conceive complex services employing human-oriented development, a way of reasoning on the resilience processes complexity, using semantic reasoning along with the time series quality assurance (TSQA) solution ontology, and a way of developing data processing components as internal (technical) services in enterprise information systems to support the design of novel environmental monitoring digital services. A unified semantic reasoning-based approach to evaluate data quality in cyber-physical systems is described to exemplify the creation of a complex public service ecosystem that promotes collaborative knowledge sharing to formalize the domain expertise through the information intensive services. The TSQA ontology integrates knowledge from other domainspecific ontologies to define and share concepts designating observations acquired from sensors, quality issues, methods for detecting quality issues and correcting data, and tags applied to data objects to assure the data traceability. A semantic component that manages the TSQA ontology and the SWRL-encoded rules are introduced in the data acquisition module of a cyber-physical system application for environmental monitoring to solve a specific problem of data cleaning associated with the water resources management. This method is applicable to any time series of measured data.

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Section: Review On Data Quality Evaluation In Cyber Physical Systemsmentioning

confidence: 99%

Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

et al. 2019

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“…The Smart-M3 community has studied the feasibility of the Smart-M3 solution for device interoperability in pervasive computing and IoT, investigating application domains [79] [80], analyzing methodological aspects [81] [82] and reporting about the lesson learned [83] [84] [85]. The Semantic Publish-Subscribe (SPS) Architecture presented in this paper has been inspired by Smart-M3 [17] and its reference implementation named Smart-M3 RedSIB 0.9.2 [41] has been used as baseline for the SPS Architecture formalization.…”

Section: Related Workmentioning

confidence: 99%

A Semantic Publish-Subscribe Architecture for the Internet of Things

Roffia

Morandi

Kiljander

et al. 2016

IEEE Internet Things J.

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“…The most common view of The Internet of Things refers to the connection of physical (smart) objects, while the core of technology is in information interconnection and convergence [24]. Smart spaces can be thought as advanced computing environments implementing The Internet of Things concept that acquire and apply knowledge to adapt services in order to enhance user experience.…”

Section: Case Study: Parking Supportmentioning

confidence: 99%

Socio-Cyberphysical System for Parking Support

Smirnov¹,

Shilov²,

Gusikhin³

2016

IJFCC

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Abstract-The paper proposes an approach and its supporting technologies for building a socio-cyberphysical system aimed at intelligent driver support. The approach is based on usage of such technologies as smart space for communication possibilities, behavior analysis for personalized support and human decision foreseeing, and fuzzy constraint satisfaction for treating uncertainties arising in stochastic systems such as traffic. The application of the approach is illustrated via a parking spot searching case study.Index Terms-Socio-cyberphysical system, parking support, behavior analysis, uncertainty.

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The Smart-M3 Platform: Experience of Smart Space Application Development for Internet of Things

Cited by 31 publications

References 21 publications

Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

A Semantic Publish-Subscribe Architecture for the Internet of Things

Socio-Cyberphysical System for Parking Support

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