Canonical Sensor Ontology Builder Based on ISO/IEC 11179 for Sensor Network Environments: A Standardized Approach

Author:

Lee Sukhoon1,Jeong Dongwon2,Gim Jangwon3,Baik Doo-Kwon4

Affiliation:

1. Department of Computer and Radio Communications Engineering, Korea University, Anam-dong 1, 5-ga, Seongbuk-gu, Seoul 136-701, Republic of Korea

2. Department of Statistics and Computer Science, Kunsan National University, 558 Daehangno, Gunsan, Jeollabuk-do 573-701, Republic of Korea

3. Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea

4. Graduate School of Convergence IT, Korea University, Anam-dong 1, 5-ga, Seongbuk-gu, Seoul 136-701, Republic of Korea

Abstract

The advancement of sensor technology has led to an explosive increase in sensors. It causes semantic heterogeneity problems, and much research has focused on sensor ontology building to solve the problems. However, there are still remaining several issues, and one of the most critical issues is about a method for progressive and dynamic concepts management and reuse of sensor ontology. This paper proposes an ontology generation system based on ISO/IEC 11179–MDR (metadata registry). The proposed system is referred to as the Canonical Sensor Ontology Builder (CaSOB) and can create ontologies by reusing the common concepts registered in a canonical sensor ontology concept registry, an MDR. This paper defines a mapping model and processes to create ontology with the concepts registered in an MDR. Our proposal provides many advantages such as high standardization, consistent concept usage, and easy semantic exchange. Therefore, CaSOB facilitates the high quality sensor ontology creation and reduces the costs of sensor ontology integration and system development.

Funder

National Research Foundation of Republic of Korea, Ministry of Science & Future Planning

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Ontology-based Method for Heterogeneous Data Governance with MFI and MDR;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

2. Research on Optimization of WSN Network Communication Service Based on Decision Tree Algorithm;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

3. Research on ontology generation and evaluation method in oil field based on the MDR;Journal of Computational Methods in Sciences and Engineering;2017-11-24

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