文章基本信息

标题：ONTOLGY-BASED MASHUP MODEL FOR CONTEXT-AWARE SERVICES IN INTERNET OF THINGS APPLICATION ENVIRONMENTS
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作者：YONGGOO CHOI
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：4
页码：1179-1193
出版社：Journal of Theoretical and Applied
摘要：In the IoT (Internet of Things) environments, an integrated context model is mandatory for governing both context information and context awareness in a unified and coherent way. The core goal of the model is to enhance interoperability of heterogeneous contexts and reduce complexity of context-aware computing under the highly dynamic situations. For realizing this goal, this paper proposes an OntoMash model for adaptable context awareness and semantic reasoning services in the IoT information systems. The OntoMash model is an aggregation of multi-context information based on ontology technologies for managing overall situations in the IoT environments. The model is able to accommodate multiple context types from heterogeneous and distributed context sources and illuminate complex and diverse semantic relationships between context classes. In the OntoMash modeling scheme, frameworks and ecosystems are designed to represent its general and global models. The applications of OntoMash model are discussed in OntoMash adaptation for context-aware reasoning. Furthermore, in order to investigate the strengths and drawbacks of the OntoMash model, their performance issues are discussed according to the evaluation indices. Through simulation models, the evaluation results preliminarily demonstrate the adaptable benefits of the model in the IoT environments.
关键词：OntoMash; Ontology; Semantic Mashup; Context Reasoning; Context Awareness; Internet of Things (IoT)