论文标题

对物联网语义推理文献的文献计量调查

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

论文作者

Shayegan, Mohammad Javad

论文摘要

如今,语义互操作性是物联网(IoT)的新关键字,用于交换来源之间的信息。不断的互动和合作需求在管理个人信息的工具和推理的帮助下,导致了语义网的创建。鉴于物联网的重要性以及在该领域的语义技术的越来越多的使用,目前的文献计量学研究是在物联网中语义推理的领域进行的。书目计量学涉及分析科学来源的书目数据,并且可以用来对科学领域的现状进行分析。在这项研究中,通过分析从科学数据库中检索到的799篇文章,主题类别的分布,多产和有影响力的作者,文章的语言,文章的出版商及其地理分布,最讨论/研究的最经常被引用的文章以及关键趋势。这项研究的结果表明,近年来,物联网语义推理领域中发表的文章数量已大大增加。在分析的文章中,有10个国家产生了总文件的84%,中国领先。此外,由于关键字分析的结果,可以坚持认为雾计算,边缘计算,语义网和无线传感器网络是该域中最重要的关键字之一。同样,本体论在专业关键字中的引用平均数量最高。

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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