Knowledge Extraction
Fatemeh Baratloo
Abstract
The purpose of this study is to identify the thematic trends of scientific publications in the fields of humanities and social sciences, considering the impact of Covid-19. The study utilizes a descriptive approach with a scientometric and content analysis method, incorporating co-word analysis and social ...
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The purpose of this study is to identify the thematic trends of scientific publications in the fields of humanities and social sciences, considering the impact of Covid-19. The study utilizes a descriptive approach with a scientometric and content analysis method, incorporating co-word analysis and social network analysis techniques. The research population comprises Covid-19 studies in the fields of humanities and social sciences in the Web of Science, conducted between 2019 and 2021, involving the top countries in three prominent continents. CiteSpace, Bibexcel, and Gephi software were used to analyze the data, while VOSviewer software was utilized to visualize the intellectual structure. The analysis reveals that religion, spirituality, public health, religiosity, mental health, epidemics, depression, crisis, social media, anxiety, and ethics are significant keywords in research within the humanities and social sciences. Additionally, thematic overlap is observed in the clusters of "China and Spain" and "India, Turkey, Britain, Italy, United States, Canada, and Brazil," with a greater accumulation of clusters in the studies of Turkey, Canada, and Brazil. In addition, it can be said that the focus of studies in the Americas is more on social sciences than on studies in the other two continents.
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.
