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Conference Paper A Design of IoT Device Similarity Vector based Workflow Management System
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Authors
Hyunjoong Kang, Marie Kim, Soonhyun Kwon, Nae-soo Kim
Issue Date
2016-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.1036-1038
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2016.7763361
Abstract
Nowadays, versatile IoT Devices are connected through the Internet and provide numerous dynamic services. However, until now, these kinds of services are just following established service or application rules. For this reason, an application cannot deal with a condition when rule is not previously set. Additionally, rules should be renewed by reflecting each condition, and software should be re-developed which are costly and time-consuming. To address this issue, we suggest a machine learning and semantic information based IoT devices management system.
KSP Keywords
IoT devices, Similarity vector, Vector based, machine Learning, semantic information, workflow management systems