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.