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Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies
Abstrakt
Cyber Physical Systems and Internet of Things have grown significant attention from industry and academia during the past decade. The main reason behind this interest is the capabilities of such technologies to revolutionize human life since they appear as seamlessly integrating classical networks, networked objects and people to create more efficient environments. However, enhancing these technologies with intelligent skills becomes an even more interesting and enticing scenario. In this paper, we propose and illustrate through a number of case studies how Decisional DNA, a multi-domain knowledge structure based on experience, can be implemented as a comprehensive embedded knowledge representation for Internet of Things and Cyber Physical Systems. Decisional DNA gathers explicit experiential knowledge based on formal decision events and uses this knowledge to support decision-making processes. The main advantages of using Decisional DNA are as follows: (i) offers a standardized form of the collected knowledge and experience, (ii) provides versatility and dynamicity of the knowledge structure, (iii) stipulates storage of day-to-day explicit experience in a single configuration, (iv) delivers transportability and shareability of the knowledge, and (v) provides predicting capabilities based on the collected experience. Consequently, test and results of the presented implementation of Decisional DNA case studies support it as a technology that can improve and be applied to the aforementioned technologies enhancing them with intelligence by predicting capabilities and facilitating knowledge engineering processes.
Cytowania
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4 2
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4 3
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Autorzy (6)
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Cesar Sanin
- Newcastle University, Australia School of Engineering
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Zhang Haoxi
- Chengdu University, China Department of Cybersecurity
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Imran Shafiq
- Aligarh University, India Machnaical Engineering
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Md Waris
- Newcastle University, Australia School of Engineering
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Caterine Silva de Oliveira
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Edward Szczerbicki prof. dr hab. inż.
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
-
Future Generation Computer Systems-The International Journal of Grid Computing-Theory Methods and Applications
nr 92,
strony 604 - 616,
ISSN: 0167-739X - Język:
- angielski
- Rok wydania:
- 2019
- Opis bibliograficzny:
- Sanin C., Haoxi Z., Shafiq I., Waris M., Silva de Oliveira C., Szczerbicki E.: Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies// Future Generation Computer Systems-The International Journal of Grid Computing-Theory Methods and Applications. -Vol. 92, (2019), s.604-616
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.future.2018.01.062
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 193 razy
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