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)

  • Authors

    • Siamak Shahpasand
    • Omid Rahimzadeh
    2018-07-07
    https://doi.org/10.14419/ijet.v7i3.5.15199
  • .

  • Abstract

    Rapid changes in the knowledge management (KM) area are substantially dependent on the considerable progresses made by the mankind 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 classifies 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 resource 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 completely 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.

  • References

    1. [1] Lizong Zhang, Anthony S. Atkins, Hongnian Yu Faculty of CET, Staffordshire University,Octagon, Beaconside, Stafford ST18 0AD,United Kingdom, “Knowledge Management Application of Internet of Things in Construction Waste Logistics with RFID Technology†,2012.

      [2] Barnaghi, P., Wang, W., Henson, C. & Taylor, K. (2012), “Semantics for the Internet of Things: early progress and back to the future. International Journal on Semantic Web and Information Systemsâ€,2012.

      [3] A. Whitmore, A. Agarwal and L. Da Xu, "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, vol. 17, pp. 261-274, 2015.

      [4] S. Li, L. D. Xu and S. Zhao, "The internet of things: a survey," Information Systems Frontiers, vol. 17, pp. 243-259, 2015.

      [5] Q. Sun, J. Liu, S. Li, C. Fan, and J. Sun, "Internet of Things:Summarize on Concepts,Architecture and Key Technology Problem," Journal of Beijing University of Posts Telecommunications, vol. 33, pp. 1-9, 2010.

      [6] Z. Deng, K. Luo and H. Yu, "A study of supervised term weighting scheme for sentiment analysis," Expert Systems with Applications, vol. 41, no. 7, pp. 3506-3513, 2014.

      [7] M. Eirinaki, S. Pisal and J. Singh, "Feature-based opinion mining and ranking," Journal of Computer and System Sciences, vol. 78, no. 4, pp. 1175-1184, 2012.

      [8] S. H. Ghorashi, R. Ibrahim, S. Noekhah and N. S. Dastjerdi, “A frequent pattern mining algorithm for feature extraction of customer reviews,†International Journal of Computer Science Issues, vol. 9, no. 1, 2012.

      [9] C. Yang, Z. Chen, T. Wang, and P. Sun, "Research on the Sentiment analysis of customer reviews based on the ontology of phone," in Proc. Int ICEMCT Conf. International Conference on Education, Management and Computing Technology, 2015.

      [10] Shulong Wang, Yibin Hou, Fang Gao , Songsong Ma ,“Ontology-based Resource Description Model for Internet of Thingsâ€,2016.

      [11] L. Zhuang, F. Jing, and X.-Y. Zhu, “Movie review mining and summarization,â€in Proc. CIKM Conf. 2006, pages 43–50.

      [12] B. Ma, D. Zhang, Z. Yan and T. Kim, “An LDA and synonym lexicon based approach to product feature extraction from online consumer product reviews,†J. Electron. Commer. Res., 14 (4), 2013, pp. 304–314.

      [13] B. Agarwal, S. Poria, N. Mittal, A. Gelbukh and A. Hussain, "Concept-Level sentiment analysis with dependency-based semantic parsing: a novel approach," Cogn Comput, vol. 7, no. 4, pp. 487-499, 2015.

      [14] L. Zhao and C. Li, “Ontology based opinion mining for movie reviews,†in Proc. 3rd Int KSEM Conf. Knowledge Science, Engineering and Management, 2009, pp. 204- 214.

      [15] I, Peñalver-Martinez et al., "Feature-based opinion mining through ontologies," Expert Systems with Applications, vol. 41, no. 13, pp. 5995-6008, 2014.

      [16] B. Agarwal, N. Mittal, P. Bansal and S. Garg, "Sentiment analysis using common-sense and context information," Computational Intelligence and Neuroscience, pp. 1-9, 2015

      1. U. S. N. Nambi, C. Sarkar, R. V. Prasad, and A. Rahim, "A Unified Semantic Knowledge Base for IoT," 2014 IEEE World Forum on Internet of Things (WF-IOT), pp. 575-580, 2014.

      [17] M. D. Hu, "Research on Key Technology of Smart Home Based on Ontology," Ocean University of China, 2014.

      [18] A, Olivieri, G. Rizzo, E. Morard, "A Publish-Subscribe Approach to IoT Integration: The Smart Office Use Case," IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, pp. 644-651, 2015.

      [19] A.C. Santos, L. D. Pedrosa, M. Kuipers, and R. M. Rocha, "Resource Description Language: A Unified Description Language for Network Embedded Resources," International Journal of Distributed Sensor Networks, vol. 2012, pp. 1-11, 2012.

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  • How to Cite

    Shahpasand, S., & Rahimzadeh, O. (2018). 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). International Journal of Engineering & Technology, 7(3.5), 43-47. https://doi.org/10.14419/ijet.v7i3.5.15199

    Received date: 2018-07-06

    Accepted date: 2018-07-06

    Published date: 2018-07-07