Maryam Moghadami; Aziz Hedayati khoshemehr; Hajar Mohammadi; Athareh Naghdinejad
Abstract
This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence ...
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This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence during the Covid-19 pandemic" indexed in the Scopus database. VOSviewer software has been used to draw scientific maps. A total of 2816 documents in the field of artificial intelligence and corona pandemic have been indexed by researchers all over the world in the Scopus database, of which 64.5% were in the form of scientific research articles. 18% of scientific products are related to medicine and 16.9% are related to computer science. The United States, China, and India are ranked first to third respectively. Iran is also ranked 17th out of 20 countries active in the field of artificial intelligence and Covid-19 such as Taiwan, Malaysia, South Korea, and Macau. Active authors in this field are Chou k.c, Hassanien A.E, and Ivano. D. The highest production in this field belongs to the United States, China, and India, respectively. The United States and China, as prominent and successful examples of the use of artificial intelligence in the management of Covid-19 disease, can be a model for other countries in overcoming this crisis.
Faezeh Bahrololomi Tabatabie; Razieh Farshid; Nosrat Riahiniya; Naved Ahmad
Abstract
Purpose: The study identified the characteristics of scientific products in the field of the semantic web application. This purpose has been done by studying six databases including Magiran, Sid, Normagz, Civilica, Comprehensive portal of humanities, and Ganj.Method: This study is a descriptive study ...
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Purpose: The study identified the characteristics of scientific products in the field of the semantic web application. This purpose has been done by studying six databases including Magiran, Sid, Normagz, Civilica, Comprehensive portal of humanities, and Ganj.Method: This study is a descriptive study with a scientometric approach. purposive sampling and the techniques of co-occurrence and social network analysis have been used. Data analysis was done with Ravar Matrix software, Gefi, and data mapping was done with VosViewer software.Findings: The frequency of scientific productions in the field of the semantic web application has been 188, among which the semantic web with a frequency of 23 is in the first place. The co-occurrence maps form eight thematic clusters. Data analysis among degree and betweenness centers showed that the semantic web and ontology, spatial database, and jurisprudence structures have the highest rate. Among the cooperation of universities, the University of Tehran has the most connections with other universities and research centers. The University of Tehran was ranked first. Islamic Azad University, Kerman Branch, Shahid Bahonar University of Kerman, and the Imam Reza International University of Mashhad are ranked first to third. The University of Tehran, Tarbiat Modares University, and the Malek Ashtar University of Technology have the highest degree of centrality of betweenness.Conclusion: The Semantic Web is an interdisciplinary subject with many applications in all disciplines, and the results indicate its continuous growth status.
