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

TL;DR
This bibliometric study analyzes 799 articles to map the research landscape of semantic reasoning in IoT, highlighting publication trends, key contributors, and emerging keywords like fog computing and ontology.
Contribution
It provides a comprehensive bibliometric analysis of semantic reasoning in IoT, revealing research trends, influential authors, and key topics over recent years.
Findings
Research output in semantic reasoning for IoT has grown significantly.
China leads in publication volume in this domain.
Keywords like fog computing and ontology are central to current research.
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…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Robotics and Automated Systems · Semantic Web and Ontologies
