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Abstrakt
The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. The main reason behind this interest is the capabilities of the IoT for seamlessly integrating classical networks and networked objects, and hence allows people to create an intelligent environment based on this powerful integration. However, how to extract useful information from data produced by IoT and facilitate standard knowledge sharing amongst different IoT systems, are still open issues to be addressed. In this paper, we propose a novel approach, the Experience-Oriented Smart Things (EOST), that utilizes deep learning and knowledge representation concept called Decisional DNA to help IoT systems acquire, represent, and store knowledge, as well as share it amid various domains where it can be required to support decisions. We demonstrate our approach in a set of experiments, in which the IoT systems use knowledge gained from past experience to make decisions and predictions. The presented initial results show that the EOST is a very promising approach for knowledge capture, representation, sharing, and reusing in IoT systems.
Cytowania
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7
CrossRef
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0
Web of Science
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7
Scopus
Autorzy (5)
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Haoxi Zhang
- Chengdu University Computer Science
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Fei Li
- Chengdu University Computer Science
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Juan Wang
- Chengdu University Computer Science
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Cesar Sanín
- Newcastle University Computer Science
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Edward Szczerbicki prof. dr hab. inż.
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Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1080/01969722.2016.1276771
- Licencja
-
otwiera się w nowej karcie
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
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CYBERNETICS AND SYSTEMS
nr 48,
wydanie 3,
strony 162 - 181,
ISSN: 0196-9722 - Język:
- angielski
- Rok wydania:
- 2017
- Opis bibliograficzny:
- Zhang H., Li F., Wang J., Sanín C., Szczerbicki E.: Experience-Oriented Intelligence for Internet of Things// CYBERNETICS AND SYSTEMS. -Vol. 48, iss. 3 (2017), s.162-181
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1080/01969722.2016.1276771
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 171 razy
Publikacje, które mogą cię zainteresować
Experience-Oriented Knowledge Management for Internet of Things
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- C. Sanin,
- E. Szczerbicki
Applying Decisional DNA to Internet of Things: The Concept and Initial Case Study
- H. Zhang,
- C. Sanin,
- E. Szczerbicki
Experience oriented enhancement of smartness for Internet of Things
- H. Zhang,
- C. Sanin,
- E. Szczerbicki