Ontology-Based Modelling of IoT Design Patterns

Author:

Dwivedi Ashish Kumar1,Satapathy Shashank Mouli2

Affiliation:

1. Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering, Madhurawada, Visakhapatnam 530048, India

2. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India

Abstract

Due to the large and complex nature of the Internet of Things (IoT), various analysis and design methodologies are proposed. Design pattern is one of them to provide the solution for a design problem, which is recurring in nature. In this approach, we have presented design patterns for the IoT use cases such as service integration and IoT security. But the semi-formal nature of software patterns may lead to bugs in the proposed pattern. Hence, an ontology-based approach is considered for modelling of the IoT design patterns. Further, we have presented an ontology-based framework for the specification and refinement of IoT design patterns. In this approach, an analysis of meta-models and ontologies has also been performed for reducing the gap between high-level design abstraction of Unified Modeling Language (UML)-based IoT patterns and formal ontology.

Publisher

World Scientific Pub Co Pte Lt

Subject

Library and Information Sciences,Computer Networks and Communications,Computer Science Applications

Cited by 4 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. Developing IoT-based Smart Health Monitoring Systems using Design Patterns;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

2. AIOIML: Automatic Integration of Ontologies for IoT Domain Using Hybridized Machine Learning Techniques;2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS);2023-04-05

3. Security Ontology Structure for Formalization of Security Document Knowledge;Electronics;2022-03-31

4. Ontology Driven Testing Strategies for IoT Applications;Computers, Materials & Continua;2022

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