Experience-Oriented Knowledge Management for Internet of Things

  • Haoxi ZhangEmail author
  • Cesar Sanin
  • Edward Szczerbicki
Part of the Studies in Computational Intelligence book series (SCI, volume 642)


In this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional DNA, and abstracting knowledge through deep learning process based on captured events data. The Decisional DNA is a flexible, domain-independent, and standard experiential knowledge repository solution that allows knowledge to be represented, reused, and easily shared. The main features, architecture, and an initial experiment of this approach are introduced. The presented conceptual approach demonstrates how knowledge can be discovered through its domain’s experiences, and stored and shared as Decisional DNA.


Knowledge representation Decisional DNA Deep learning Experience-Oriented Smart Things Internet of Things 



The authors would like to thank the editors and anonymous reviewer for their valuable comments and suggestions on this paper. This work was supported as part of the Project KYTZ201422 by the Scientific Research Foundation of CUIT.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Chengdu University of Information TechnologyChengduChina
  2. 2.School of EngineeringThe University of NewcastleCallaghanAustralia
  3. 3.Gdansk University of TechnologyGdanskPoland

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