物联网语义推理研究的文献计量学分析
A bibliometric investigation into the literature of semantic reasoning in Internet of Things
摘要：
如今，语义互操作性是物联网（IoT）中用于源之间信息交换的新关键词。不断的互动和合作的需要导致了语义Web的创建与工具和推理的帮助下，管理个人信息。鉴于物联网的重要性和语义技术在这一领域的越来越多的使用，目前的文献计量学调查是在物联网的语义推理领域进行的。文献计量学涉及分析科学来源的书目数据，它可以用来分析科学领域的现状。通过对Web of Science数据库中检索到的799篇文章的分析，研究了主题类别分布、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、最受争议/研究和最常被引用的文章以及关键词趋势。这项研究的结果表明，近年来在物联网语义推理领域发表的文章数量大幅增加。在分析的文章中，有10个国家产生了84%的文件，中国处于领先地位。此外，作为关键词分析的结果，可以认为雾计算、边缘计算、语义网和无线传感器网络是该领域中最重要的关键词。此外，在专业关键字中，本体论的平均引用次数最高。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
