COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange

The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today’s devices can connect to the internet...

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Main Authors: Diego Gutiérrez Martín, Sebastian Lopez Florez, Alfonso González-Briones, Juan M. Corchado
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/2/982
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author Diego Gutiérrez Martín
Sebastian Lopez Florez
Alfonso González-Briones
Juan M. Corchado
author_facet Diego Gutiérrez Martín
Sebastian Lopez Florez
Alfonso González-Briones
Juan M. Corchado
author_sort Diego Gutiérrez Martín
collection DOAJ
description The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today’s devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.
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spelling doaj.art-4970b82587b14b27829f0be649deb8022023-12-01T00:30:49ZengMDPI AGSensors1424-82202023-01-0123298210.3390/s23020982COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy ExchangeDiego Gutiérrez Martín0Sebastian Lopez Florez1Alfonso González-Briones2Juan M. Corchado3Air Institute, IoT Digital Innovation Hub (Spain), Carbajosa de la Sagrada, 37188 Salamanca, SpainAir Institute, IoT Digital Innovation Hub (Spain), Carbajosa de la Sagrada, 37188 Salamanca, SpainGrupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca, Calle Espejo 2, 24.2, 37007 Salamanca, SpainAir Institute, IoT Digital Innovation Hub (Spain), Carbajosa de la Sagrada, 37188 Salamanca, SpainThe revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today’s devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.https://www.mdpi.com/1424-8220/23/2/982cognitive servicescognitive platformenergy negotiationsmart cities sustainable citiesmachine learning
spellingShingle Diego Gutiérrez Martín
Sebastian Lopez Florez
Alfonso González-Briones
Juan M. Corchado
COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
Sensors
cognitive services
cognitive platform
energy negotiation
smart cities sustainable cities
machine learning
title COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
title_full COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
title_fullStr COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
title_full_unstemmed COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
title_short COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
title_sort cosibas platform cognitive services for iot based scenarios application in p2p networks for energy exchange
topic cognitive services
cognitive platform
energy negotiation
smart cities sustainable cities
machine learning
url https://www.mdpi.com/1424-8220/23/2/982
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