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https://hdl.handle.net/1959.11/61889
Title: | Experience-Oriented Enhancement of Smartness For Internet of Things |
Contributor(s): | Zhang, Haoxi (author); Sanin, Cesar (author) ; Szczerbicki, Edward (author) |
Publication Date: | 2015 |
DOI: | 10.1007/978-3-319-15705-4_49 |
Handle Link: | https://hdl.handle.net/1959.11/61889 |
Abstract: | | 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.
Publication Type: | Conference Publication |
Conference Details: | ACIIDS 2015: 7th Asian Conference Intelligent Information and Database Systems, Bali, Indonesia, 23rd - 25th March, 2015 |
Source of Publication: | Intelligent Information and Database Systems, p. 506-515 |
Publisher: | Springer, Cham |
Place of Publication: | Germany |
Fields of Research (FoR) 2020: | 4602 Artificial intelligence |
Peer Reviewed: | Yes |
HERDC Category Description: | E1 Refereed Scholarly Conference Publication |
Series Name: | Lecture Notes in Computer Science |
Series Number : | 9012 |
Appears in Collections: | Conference Publication School of Science and Technology
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