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Abstrakt
In this paper, we propose a novel approach, the Experience-Oriented Smart Things that allows experiential knowledge discovery, storage, involving, and sharing for Internet of Things. The main features, architecture, and initial experiments of this approach are introduced. Rather than take all the data produced by Internet of Things, this approach focuses on acquiring only interesting data for its knowledge discovery process. By catching decision events, this approach gathers its own daily operation experience, which is the interesting data, and uses such experience for knowledge discovery. An initial experiment was made at the end of this paper, by applying this approach to a sensors-equipped bicycle, the bicycle is able to learn user’s physical features and recognize its user out of other riders. Customized version of Decisional DNA is used in this approach as the knowledge representation technique. Decisional DNA is a domain-independent, and flexible, and standard experiential knowledge repository solution that allows knowledge to be acquired, reused, evolved and shared easily. The presented conceptual approach demonstrates how knowledge can be discovered through its domain’s experiences and stored as Decisional DNA.
Cytowania
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3
CrossRef
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0
Web of Science
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2
Scopus
Autorzy (3)
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Haoxi Zhang
- Chengdo University Compuetr Science
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Cesar Sanin
- University of Newcastle School of Engineering
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Edward Szczerbicki prof. dr hab. inż.
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Informacje szczegółowe
- Kategoria:
- Aktywność konferencyjna
- Typ:
- materiały konferencyjne indeksowane w Web of Science
- Tytuł wydania:
- 7th Asian Conference on Intelligent Information and Database Systems (ACIIDS) strony 506 - 515
- Język:
- angielski
- Rok wydania:
- 2015
- Opis bibliograficzny:
- Zhang H., Sanin C., Szczerbicki E..: Experience oriented enhancement of smartness for Internet of Things, W: 7th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2015, Springer,.
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-319-15705-4
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 78 razy
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