Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things

End-users, such as aging people, look for dynamic applications to help them in their daily activities while usually assisted by domain experts (e.g., physicians) in performing these activities. Nowadays, the Internet of Things (IoT) augments applications with a changing context based on the activiti...

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Autores principales:	Victor Ponce, Bessam Abdulrazak
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Activity model context-aware application intention model Internet of Things semantics Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/235b383555c54ac39884020421e098f0
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id	oai:doaj.org-article:235b383555c54ac39884020421e098f0
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spelling	oai:doaj.org-article:235b383555c54ac39884020421e098f02021-11-17T00:01:21ZIntention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things2169-353610.1109/ACCESS.2021.3126000https://doaj.org/article/235b383555c54ac39884020421e098f02021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605674/https://doaj.org/toc/2169-3536End-users, such as aging people, look for dynamic applications to help them in their daily activities while usually assisted by domain experts (e.g., physicians) in performing these activities. Nowadays, the Internet of Things (IoT) augments applications with a changing context based on the activities, environments, and services. Unfortunately, most IoT application development tools are restricted to specific scenarios or involve technical challenges. We propose an activity intention model for quick application development, targeting domain experts who are not traditional software developers. Our model is based on the ContextAA micro context-awareness approach with autonomic computing-based components providing pervasive adaptations. Unlike other Internet of Things application definitions, our model promotes elicitation of the activity semantics and provides mechanisms to compute the semantics. We then generate intention as a context (IaaC), which contains a self-described activity intention context with compiled knowledge ready to be assessed in pervasive smart environments for augmented adaptations. Experimental results show a potential resource optimization for dynamic Internet of Things applications in smart homes and smart cities.Victor PonceBessam AbdulrazakIEEEarticleActivity modelcontext-aware applicationintention modelInternet of ThingssemanticsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 151167-151185 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Activity model context-aware application intention model Internet of Things semantics Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Activity model context-aware application intention model Internet of Things semantics Electrical engineering. Electronics. Nuclear engineering TK1-9971 Victor Ponce Bessam Abdulrazak Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
description	End-users, such as aging people, look for dynamic applications to help them in their daily activities while usually assisted by domain experts (e.g., physicians) in performing these activities. Nowadays, the Internet of Things (IoT) augments applications with a changing context based on the activities, environments, and services. Unfortunately, most IoT application development tools are restricted to specific scenarios or involve technical challenges. We propose an activity intention model for quick application development, targeting domain experts who are not traditional software developers. Our model is based on the ContextAA micro context-awareness approach with autonomic computing-based components providing pervasive adaptations. Unlike other Internet of Things application definitions, our model promotes elicitation of the activity semantics and provides mechanisms to compute the semantics. We then generate intention as a context (IaaC), which contains a self-described activity intention context with compiled knowledge ready to be assessed in pervasive smart environments for augmented adaptations. Experimental results show a potential resource optimization for dynamic Internet of Things applications in smart homes and smart cities.
format	article
author	Victor Ponce Bessam Abdulrazak
author_facet	Victor Ponce Bessam Abdulrazak
author_sort	Victor Ponce
title	Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
title_short	Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
title_full	Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
title_fullStr	Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
title_full_unstemmed	Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things
title_sort	intention as a context: an activity intention model for adaptable development of applications in the internet of things
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/235b383555c54ac39884020421e098f0
work_keys_str_mv	AT victorponce intentionasacontextanactivityintentionmodelforadaptabledevelopmentofapplicationsintheinternetofthings AT bessamabdulrazak intentionasacontextanactivityintentionmodelforadaptabledevelopmentofapplicationsintheinternetofthings
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Intention as a Context: An Activity Intention Model for Adaptable Development of Applications in the Internet of Things

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