Universiti Teknologi Malaysia Institutional Repository

Context-aware ontology and web services discovery for distributed embedded real-time systems

Zeshan, F. and Mohamad, R. and Ahmad, M. N. and Othman, M. B. and Elhag, A. A. M. and Hussain, H. A. and Ahmad, A. and Ashraf, M. and Babar, I. (2019) Context-aware ontology and web services discovery for distributed embedded real-time systems. Malaysian Journal of Computer Science, 32 (3). pp. 186-206. ISSN 2502-4752

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Official URL: https://dx.doi.org/10.22452/mjcs.vol32no3.2

Abstract

Distributed Embedded Real-Time Systems (DERTS) consists of hundreds of interconnected devices, typically small and wirelessly-connected, which are designed to work for a long period of time. The massive interconnection of devices and the usage of heterogeneous languages, operating platforms and data standards make DERTS a competitive and complex system. In addition, the DERTS program is setting a trend of moving away from centralized, high-cost products towards lower cost and high volume products. In this regard, there is nothing more natural than considering the use of Service Oriented Architecture (SOA) to assist in the development of DERTS. This is because SOA enables different devices to exchange data regardless of issues of complexity. Moreover, context-awareness, which is widely studied for DERTS, also plays an important role for effective communication among devices. Thus, to build service-based DERTS while managing the complexity, context-aware ontologies are the best solution. In this paper, we developed a context-aware ontology for DERTS which is known as ConOntDERTS. To evaluate ConOntDERTS, we used two methods. In the first method, a criteria-based ontology evaluation was used; while in the second method, a survey was conducted to show that the results produced by ConOntDERTS were almost the same as human perception. Results of the evaluation show the consistency and feasibility of our ontology and the statistical test results show that ConOntDERTS ontology can produce consistent results with human perception.

Item Type:Article
Uncontrolled Keywords:context-aware ontology, distributed embedded real-time systems, context knowledge management
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:88742
Deposited By: Narimah Nawil
Deposited On:29 Dec 2020 04:17
Last Modified:29 Dec 2020 04:17

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