Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 563-567.doi: 10.11896/jsjkx.200600071

• Interdiscipline & Application • Previous Articles     Next Articles

Research and Analysis of Blockchain Internet of Things Based on Knowledge Graph

LI Jia-ming, ZHAO Kuo, QU Ting, LIU Xiao-xiang   

  1. School of Intelligent Systems Science and Engineering/JNU-Industry School of Artificial Intelligence,Jinan University,Zhuhai,Guangdong 519000,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:LI Jia-ming,born in 2000,undergraduate.His main research interests include machinelearning and data mining.
    LIU Xiao-xiang,born in 1977,Ph.D,associate professor.His main research interests include artificial intelligence,internet of thing and computer vision.
  • Supported by:
    Science and Technology Planning Project of Guangdong Province(2019B010137006),National Natural Science Foundation of China(51875251),Guangdong Special Support Talent Program-Innovation and Entrepreneurship Leading Team(2019BT02S593),Guangzhou Leading Innovation Team Program(China)(201909010006),Blue Fire Project(Huizhou) Industry-University-Research Joint Innovation Fund of the Ministry of Education(China)(CXZJHZ201722) and Fundamental Research Funds for the Central Universities (11618401).

Abstract: The rapid development of blockchain IoT(Internet of Things) has greatly attracted attention from academia and industry.A systematic understanding of the research status and progress in the field of blockchain IoT is of great reference value for researchers and industry departments to carry out related work.This paper takes 970 articles in the field of blockchain IoT in Web of Science from 2015 to 2019 as research object.Based on bibliometrics theory,it is visualized and analyzed using the information visualization software CiteSpace.This paper firstly researches and discusses the countries with greater influence in the field of blockchain IoT.Secondly,it summarizes the hot keywords in the field of blockchain IoT in recent years.Thirdly,it summarizes the knowledge base of this field in conjunction with CiteSpace,lists six papers with significant influence,and uses the Timezone as the display method to study the development trend of the blockchain IoT field in the past five years.Finally,it summarizes the current status of the blockchain IoT field and propose future development outlook.

Key words: Bibliometrics, Blockchain, CiteSpace, Internet of things, Knowledge graph

CLC Number: 

  • TP393
[1] NAKAMOTO S.Bitcoin:a peer-to-peer electronic cash system[EB/OL].https://bitcoin.org/bitcoin.pdf.
[2] XU Z,ZOU CH W.What can and cannot be done with blockchain? [J].Financial Research,2018(11):1-16.
[3] International Telecommunication Union UIT.ITU Inter-net Reports2005:The Internet of Things [R].2005.
[4] GUSTAVO R G,MARIO M O,CARLOS D K.Early infrastructure of an Internet of Things in Spaces for Learning [C]//Eighth IEEE International Conference onAdvanced Learning Technologies.2008:381-383.
[5] AMARDEO C,SARMA J G.Identities in the Future Internet of Things [J].Wireless Pers Commun,2009:49:353-363.
[6] ZHU J W,JIANG Y L,ZHAI L,et al.Comparison of domestic and foreign BIM research based on knowledge graph [J].Journal of Civil Engineering,2018,51(2):113-120.
[7] CHEN M,ZHU J W.Research hotspot and evolution trend of project management in my country based on knowledge graph [J].Journal of Engineering Management,2016,30(3):105-109.
[8] LU J X,XU L Y,ZHAO L B,et al.Analysis of the current status of RFID research based on literature metrology[J].Computer Integrated Manufacturing System,2017,23(11):2518-2532.
[9] FAN Y Y,XU J J.Graph analysis of graphene research literature based on CiteSpace bibliometrics[J].Modern Information,2015,35(8):81-91.
[10] MOTOHASHI K.Assessment of technological capability in science industry linkage in China by patent database [J].World Patent Information,2007,30(3).
[11] KIVIAT T I.Beyond bitcoin:Issues in regulating blockchaintransactions[J].Duke Law Journal,2015,65(3):569-608.
[12] PETERS G W,PANAYI E,CHAPELLE A,et al.Trends in-crypto-currencies and blockchain technologies:a monetary theory and regulation perspective[J].Cryptography and Security,2015,3(3):92-113.
[13] MA C G,AN J,BI W,et al.Smart contracts in blockchain[J].Information Network Security,2018(11):8-17.
[14] LIU H Y,FAN J L,MA J F.Research progress of access control technology [J].Small Microcomputer System,2004(1):56-59.
[15] SHI W S,SUN H,CAO J,et al.Edge computing:a new computing model in the era of Internet of Everything [J].Computer Research and Development,2017,54(5):907-924.
[16] WU X B,YANG Z G.Smart city concept and future urban development [J].Urban Development Research,2010,17(11):56-60.
[17] HE Z C,PAN H Y.German “Industry 4.0” and “Made in China 2025” [J].Journal of Changsha University of Science and Technology (Social Science Edition),2015,30(3):103-110.
[18] ZHAO R Y,WANG J.Analysis of Library SCIENCE Knowledge Graph [J].Chinese Library Journal,2011,37(2):40-50.
[19] CHRISTIDIS K,DEVETSIKIOTIS M.Blockchains and smartcontracts for the internet of things[J].IEEE Access,2016,4:2292-2303.
[20] DORRI A,STEGER M,KANHERE S S,et al.Blockchain:Adistributed solution to automotive security and privacy[J].IEEE Communications Magazine,2017,55(12):119-125.
[21] ZYSKIND G,ZEKRIFA D M S,ALEX P,et al.Decentralizing Privacy:Using Blockchain to Protect Personal Data[C]//IEEE Security & Privacy Workshops.IEEE,2015.
[22] KHAN M A,SALAH K.IoT security:Review blockchain solutions,and open challenges[J].Future Generation Computer Systems,2018,82:395-411.
[23] OSCAR N.Blockchain Meets IoT:An Architecture for Scalable Access Management in IoT [J].IEEE Internet of Things Journal,2018,5(2):1184-1195.
[24] KSHETRI N.Can blockchain strengthen the internet of things?.[J].IT Professional,2017,19(4):68-72.
[25] HOU J H.Visual analysis of business management discipline evolution and frontier hotspots [D].Dalian:Dalian University of Technology,2009.
[1] RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207.
[2] WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng. Ontology Alignment Method Based on Self-attention [J]. Computer Science, 2022, 49(9): 215-220.
[3] KONG Shi-ming, FENG Yong, ZHANG Jia-yun. Multi-level Inheritance Influence Calculation and Generalization Based on Knowledge Graph [J]. Computer Science, 2022, 49(9): 221-227.
[4] WANG Zi-kai, ZHU Jian, ZHANG Bo-jun, HU Kai. Research and Implementation of Parallel Method in Blockchain and Smart Contract [J]. Computer Science, 2022, 49(9): 312-317.
[5] XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171.
[6] QIN Qi-qi, ZHANG Yue-qin, WANG Run-ze, ZHANG Ze-hua. Hierarchical Granulation Recommendation Method Based on Knowledge Graph [J]. Computer Science, 2022, 49(8): 64-69.
[7] WANG Jie, LI Xiao-nan, LI Guan-yu. Adaptive Attention-based Knowledge Graph Completion [J]. Computer Science, 2022, 49(7): 204-211.
[8] ZHANG Chong-yu, CHEN Yan-ming, LI Wei. Task Offloading Online Algorithm for Data Stream Edge Computing [J]. Computer Science, 2022, 49(7): 263-270.
[9] LI Bo, XIANG Hai-yun, ZHANG Yu-xiang, LIAO Hao-de. Application Research of PBFT Optimization Algorithm for Food Traceability Scenarios [J]. Computer Science, 2022, 49(6A): 723-728.
[10] FU Li-yu, LU Ge-hao, WU Yi-ming, LUO Ya-ling. Overview of Research and Development of Blockchain Technology [J]. Computer Science, 2022, 49(6A): 447-461.
[11] GAO Jian-bo, ZHANG Jia-shuo, LI Qing-shan, CHEN Zhong. RegLang:A Smart Contract Programming Language for Regulation [J]. Computer Science, 2022, 49(6A): 462-468.
[12] MAO Dian-hui, HUANG Hui-yu, ZHAO Shuang. Study on Automatic Synthetic News Detection Method Complying with Regulatory Compliance [J]. Computer Science, 2022, 49(6A): 523-530.
[13] MA Rui-xin, LI Ze-yang, CHEN Zhi-kui, ZHAO Liang. Review of Reasoning on Knowledge Graph [J]. Computer Science, 2022, 49(6A): 74-85.
[14] DENG Kai, YANG Pin, LI Yi-zhou, YANG Xing, ZENG Fan-rui, ZHANG Zhen-yu. Fast and Transmissible Domain Knowledge Graph Construction Method [J]. Computer Science, 2022, 49(6A): 100-108.
[15] DU Xiao-ming, YUAN Qing-bo, YANG Fan, YAO Yi, JIANG Xiang. Construction of Named Entity Recognition Corpus in Field of Military Command and Control Support [J]. Computer Science, 2022, 49(6A): 133-139.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!