Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (2): 559-570.doi: 10.23940/ijpe.19.02.p20.559570

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Eliciting Data Relations of IOT based on Creative Computing

Lin Zouab, Qinyun Liua, Sicong Maa*(), and Fengbao Mac   

  1. a Centre for Creative Computing, Bath Spa University, Bath, BA2 8BN, England, UK
    b Collaborative Innovative Centre of e-Tourism, Beijing Union University, Beijing, 100101, China
    c Beijing Institute of Fashion Technology, Beijing, 100029, China
  • Submitted on ;
  • Contact: Ma Sicong


Internet of things aims to create valuable results by responding to changing environments intelligently and creatively. Expected properties of Internet of things include autonomous, cooperative, situational, evolvable, emergent, and trustworthy, which are also required by any business operators. An approach is generated in this research to extract data relations from a multitude of business information through the design of a Game Theory Data Relations Generator (GTDRG) framework that extracts data relations by deducing the relationship among factors in game theory models. GTDRG relies on both creative computing and Internet of things combined base in order to generate outputs including, but not limited to, relation graph or game theory model mapping through GTDRG. When the proposed framework is established, it is crucial to interpret business information according to user requirements and make Internet of things components react to a changing environment. In summary, users’ needs and requirements can be satisfied by software through the help of the designed model, so that not only can existing data relation be extracted, but also the software can be built to make predictions based on data relations; and more importantly, it can save costs for organisations in addition to improving the effectiveness and efficiency of businesses in a creative way.

Key words: Internet of things, creative computing, game theory, Semantic Web, data relation, big data