Overcoming the Heterogeneity in the Internet of Things for Smart Cities

Kazmi, Aqeel; Jan, Zeeshan; Zappa, Achille; Serrano, Martin M.

doi:10.1007/978-3-319-56877-5_2

Cited by 31 publications

(12 citation statements)

References 4 publications

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“…The measurement payload arriving in the Cloud Platform is agnostic to the data type where it is correctly transformed (in ER) using the system and device configuration data. The design of both the data model and the whole system was made open to extensions to be as future proof based on the existing practices (e.g., from SPOT [ 35 ], VITAL [ 36 ], and other) and our previous experience in the field.…”

Section: Pilot Casementioning

confidence: 99%

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System

Grguric

Mosmondor

Huljenić

2019

Sensors

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Many researchers and product developers are striving toward achieving ICT-enabled independence of older adults by setting up Enhanced Living Environments (ELEs). Technological solutions, which are often based on the Internet of Things (IoT), show great potential in providing support for Active Aging. To enhance the quality of life for older adults and overcome challenges in enabling individuals to achieve their full potential in terms of physical, social, and mental well-being, numerous proof-of-concept systems have been built. These systems, often labeled as Ambient Assisted Living (AAL), vary greatly in targeting different user needs. This paper presents our contribution using SmartHabits, which is an intelligent privacy-aware home care assistance system. The novel system comprising smart home-based and cloud-based parts uses machine-learning technology to provide peace of mind to informal caregivers caring for persons living alone. It does so by learning the user’s typical daily activity patterns and automatically issuing warnings if an unusual situation is detected. The system was designed and implemented from scratch, building upon existing practices from IoT reference architecture and microservices. The system was deployed in several homes of real users for six months, and we will be sharing our findings in this paper.

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Section: Pilot Casementioning

confidence: 99%

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System

Grguric

Mosmondor

Huljenić

2019

Sensors

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“…The semantic web is used to relate sensor data using RDF triples to make them semantically meaningful. However, IoT‐SIM does not provide syntactic interoperability among different data types and formats.To overcome the heterogeneity in the IoT for smart cities, the VITAL project 97 provides a platform using several data modeling standards such as RDF, JSON‐LD, and ontologies. It uses a virtualization technique to provide interoperability among various IoT applications.…”

Section: Semantic Interoperability In Iot and Its Possible Research Imentioning

confidence: 99%

“…To overcome the heterogeneity in the IoT for smart cities, the VITAL project 97 provides a platform using several data modeling standards such as RDF, JSON‐LD, and ontologies. It uses a virtualization technique to provide interoperability among various IoT applications.…”

Section: Semantic Interoperability In Iot and Its Possible Research Imentioning

confidence: 99%

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

Rahman

Hussain

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) is highly heterogeneous in terms of devices, communication technologies, protocols, data formats, and semantics. Data generated from various sources are represented using different semantics. It makes semantic interoperability as one of the significant issues in provisioning seamless communication and services over diverse IoT platforms. Semantic models help in exchanging semantically annotated information among such heterogeneous applications in a meaningful way. Seamless communication among different types of applications is commonly accomplished by using middleware, ontology, and semantic web technologies. In this paper, we present a comprehensive survey of different semantic interoperability solutions in the context of IoT. The pivotal semantic models available in the literature are compared with the help of a classification framework. This study identifies various open research issues and challenges for facilitating interoperable IoT communications. For the purpose of implementation and performance evaluation of various semantic models, we also suggest some important tools and frameworks. After pointing out different prospects and problems of the existing semantic interoperability schemes, the factors for improvement are identified indicating future research directions.

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“…VITAL, an FP7 European project, designed an ontology to deal with heterogeneous data streams generated by devices within smart cities [40]. The ontology models sensors and their measurements (based on the SSN ontology V1), for IoT systems and services, and for smart city applications.…”

Section: A Existing Ontologies For Smart Citiesmentioning

confidence: 99%

“…The LOV4IoT covers more than 20 domains associated with these use cases including (a) the Ambient Assisted Living (AAL) domain that is relevant to design the smart elderly care system and (b) the smart metering domain. The web page 40 matches CityPulse scenarios to any ontology-based project referenced within LOV4IoT. 4) National and European smart city projects designing ontologies: We have been involved in National and European smart city projects where IoT ontologies have been developed.…”

Section: ) Lov Ontology Catalogmentioning

confidence: 99%

Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

Gyrard

Zimmermann

Sheth

2018

IEEE Internet Things J.

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The Internet of Things (IoT) plays an ever-increasing role in enabling Smart City applications. An ontology-based semantic approach can help improve interoperability between a variety of IoT-generated as well as complementary data needed to drive these applications. While multiple ontology catalogs exist, using them for IoT and smart city applications require significant amount of work. In this paper, we demonstrate how can ontology catalogs be more effectively used to design and develop smart city applications? We consider four ontology catalogs that are relevant for IoT and smart cities: READY4SmartCities, LOV, OpenSensingCity (OSC) and, LOV4IoT. To support semantic interoperability with the reuse of ontology-based smart city applications, we present a methodology to enrich ontology catalogs with those ontologies. Our methodology is generic enough to be applied to any other domains as is demonstrated by its adoption by OSC and LOV4IoT ontology catalogs. Researchers and developers have completed a survey based evaluation of the LOV4IoT catalog. The usefulness of ontology catalogs ascertained through this evaluation has encouraged their ongoing growth and maintenance. The quality of IoT and smart city ontologies have been evaluated to improve the ontology catalog quality. We also share the lessons learned regarding ontology best practices and provide suggestions for ontology improvements with a set of software tools.

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Overcoming the Heterogeneity in the Internet of Things for Smart Cities

Cited by 31 publications

References 4 publications

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

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