Algorithm Research & Explore
|
2731-2737,2756

Intent-based IoT service description and discovery

Liu Xingyua
Jiang Lingyuna,b
a. School of Communication & Information Engineering, b. Institute of Internet of Things, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

Abstract

In the process of Internet of Things service discovery, users usually express their needs with their own intentions, while service description is the description of service functions, so the mismatch between the two will affect the accuracy of service discovery. At the same time, the accuracy of service discovery decreases with the increasing of service types. In order to solve the above problems, this paper proposed a method of introducing intentional service ontology into the description of IoT services, and extended the service context and QoS in the intentional service ontology. The extended intentional service ontology was stored in OWL-S(ontology Web language for services) files, which could express service functions in an intentional way, enrich the semantics of IoT service description, and improve the accuracy of service discovery. Simulation results show that the proposed service description method and the corresponding service discovery algorithm can improve the accuracy of 6.7% compared with the traditional service discovery method.

Foundation Support

江苏省重点研发项目(BE2020084-4)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0044
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2731-2737,2756
Serial Number: 1001-3695(2022)09-026-2731-07

Publish History

[2022-04-15] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

刘星宇, 江凌云. 基于意图的物联网服务描述与发现 [J]. 计算机应用研究, 2022, 39 (9): 2731-2737,2756. (Liu Xingyu, Jiang Lingyun. Intent-based IoT service description and discovery [J]. Application Research of Computers, 2022, 39 (9): 2731-2737,2756. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)