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International Journal of Engineering & Technology, 7 (3.5) (2018) 43-47 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research paper Investigating the Role of Internet of Things in Knowledge Management Systems (Case Study: Offering A Resource Description Model Based on Ontological Study of Smart Store Management (Smart Shopping Cart) Siamak Shahpasand 1 , Omid Rahimzadeh 2 1 Graduated Student in Master of Computer Engineering, Software Engineering, Tabriz University 2 Graduated Student in Information Technology, Information Security, Tehran University *Corresponding author E-mail: omidrahemzadeh2@gmail.com Abstract Rapid changes in the knowledge management (KM) area are substantially dependent on the considerable progresses made by the man- kind in the information technology (IT) during these years. In fact, Internet of Things (IoT), as part of the applied technologies in the IT world, has rendered feasible the fast growth and sharing of knowledge. IoT records the data pertinent to the natural phenomena and clas- sifies and calculates them for the purpose of facilitating a better and easier perception thereby to enable the human beings better perceive the phenomena. The quality of achieving an integrated source in regard of resource description is an important challenge in IoT for a large number of heterogeneous devices. According to the absence of an integrated description model for IoT devices, the present article tries proposing an ontology-based re- source description model (ORDM). These resources in IoT include the description of such classes as specifications, statuses, controls, situations, performances, histories and privacies inherent of the things. The ontology-based description model (ORDM) can be complete- ly implemented for the performance optimization of a smart store through its offering of a smart shopping cart. The experiment results indicated that the proposed model is of a considerable applied value and prospect in the optimization of devices’ access and business performance in IoT. Keywords: 1. Introduction The scientific effort that led on the 20 th of January, 1969, to the stepping of the first American on the moon can be considered as the most successful attempt made ever up to that point in time. The necessary knowledge and technology for the accomplishment of the extraordinary projects had to also be flourished and blos- somed. The power to make use of Apollo computers in their first mission in space was lower than the power of the desktop comput- ers currently being used in the airports. The computer used in Apollo 11 that was well-known as state-of-the-art in 1960 was composed of a 4-kn RAM and no disk drive and contained only 74 kilobytes of extra memory. From the perspective of KM, it was a big question that how the remarkable management of the project’s knowledge could have controlled and operationalize the develop- ing knowledge in such a short period of time and with such lim- ited facilities (the knowledge required for the space trip, rockets and missiles, aerodynamic, control systems, communications, biological issues and various scientific fields of study that had to be developed and experimented before the expedition). From the viewpoint of knowledge production, as well, the project was also deemed as an extraordinary example of an effort. But, on the other hand, it can be concluded in a more precise look that the efforts for the extraction and discovery of knowledge from this project have been in vain to a great extent and even some studies show that NASA has indeed lost a large percentage of such knowledge [1]. The experience was indicative of the lesson that the lack of essen- tial solutions for the management of knowledge causes the loss of very crucial information and knowledge the compensation of which is almost improbable. This is while one can dare to say that the IoT of the recent years is no less important than the then Apol- lo 11 project in terms of KM and the increasing pace of the tech- nology’s growth and its role in the future of the internet. The future of the internet and the initiatives in this area are inter- twined with the growing trend and influence that is required for IoT in making applications and this has resulted in the attraction, relationship, storing, accessing and sharing of the real world data. It has provided for a new opportunity in various extensive fields like electronic hygiene, retailing, green energy, production, city, organization, houses and smart stores as well as customized appli- cations for the users [2]. The exploitation and extraction of knowledge from IoT dramati- cally depends on KM and methods of rendering things smart the objective of which is better and more perception of the periphery. However, the diversity in the devices (things) and the necessity for their cooperation under such conditions cause challenging prob- lems hindering the offering of world-scale solutions for the com- munications in this technology. The volume, speed and the fluctu- ations of the IoT data bring about important challenges for the