A bibliometric investigation into the literature of semantic reasoning in Internet of Things

Mohammad Javad Shayegan

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arXiv · 2202.02634

A bibliometric investigation into the literature of semantic reasoning in Internet of Things

Mohammad Javad Shayegan

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Abstract

Nowadays, semantic interoperability is a new keyword in the Internet of Things (IoT) for the exchange of information between sources. The constant need for interaction and cooperation has resulted in the creation of the Semantic Web with the help of tools and reasoners which manage personal information. Given the significance of the IoT and the increasing use of semantic techniques in this field, the present bibliometric investigation was conducted in the domain of semantic reasoning in the IoT. Bibliometrics involves analyzing bibliographic data of scientific sources, and it can be employed to arrive at an analysis of the status quo in a scientific field. In this study, through the analysis of 799 articles retrieved from the Web of Science database, distribution of topic categories, prolific and influential authors, language of articles, publishers of articles and their geographical distribution, the most debated/researched and the most frequently cited articles, and keyword trends were studied. The results of this study indicate that the number of articles published in the domain of semantic reasoning in the IoT has increased considerably in recent years. Of the articles analyzed, it was revealed that 10 countries produced 84% of the total documents, with China being in the lead. Moreover, as a result of keyword analysis, it can be maintained that the words fog computing, edge computing, Semantic Web, and wireless sensor network are among the most important keywords in this domain. As well, ontology has the highest average number of citations among the specialized keywords.

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Mohammad Javad Shayegan. 2022-02-05. A bibliometric investigation into the literature of semantic reasoning in Internet of Things. https://arxiv.org/abs/2202.02634

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