University of Qom Sciences and Techniques of Information Management 2476-6658 8 1 2022 03 21 Web Search Engines to the Markup Metadata Records of Person Entity (The Fourteen Infallibles) Based on Schema.org Web Search Engines to the Markup Metadata Records of Person Entity (The Fourteen Infallibles) Based on Schema.org 97 116 1874 10.22091/stim.2021.6640.1540 FA Reza Karimi Associate Professor, Department of Knowledge and Information Science, University of Qom, Qom, Iran 0009-0004-4298-9715 Morteza Mohammadi Ostani Assistant Professor, Department of Knowledge and Information Science, University of Isfahan, Isfahan, Iran 0000-0003-1146-687X Mohammad Reza Nasiri M.A., Department of Knowledge and Information Science, University of Qom, Qom, Iran 0000-0002-8881-1670 Journal Article 2021 02 27 <strong>Objectives:</strong> The present study aims to survey the reaction of Web search engines to the markup metadata records of a person entity (fourteen infallibles) based on Schema.org at two levels of indexability and semantic visibility.<br /><strong>Methods</strong>: The research method is experimental. The research populations consisted of 42 metadata records in the form of two experimental groups (14 records in Microdata format and 14 records in JSON-LD format) and a control group (14 records in HTML format). Another research population is Web search engines (Google and Bing) which was selected by the targeted sampling method. These records were published on an independent website and introduced directly to search engines. The data collection method was structured observation and the data collection tool was researcher-made checklists.<br /><strong>Results</strong>: The results showed that Google and Bing search engines indexed the metadata records of person entities in two experimental groups (Microdata and JSON-LD) and also were done semantic visible. The metadata records of the control groups were also indexed in search engines but were not semantic visibility.<br /><strong>Conclusions</strong>: Using Scema.org and its syntactic context for markup to create rich snippets will improve their indexability and semantic visibility in Web search engines. Creating structured data in the Web environment will lead to the realization of the Semantic web, and the retrieval of knowledge.<br /><strong> </strong> <strong>Objectives:</strong> The present study aims to survey the reaction of Web search engines to the markup metadata records of a person entity (fourteen infallibles) based on Schema.org at two levels of indexability and semantic visibility.<br /><strong>Methods</strong>: The research method is experimental. The research populations consisted of 42 metadata records in the form of two experimental groups (14 records in Microdata format and 14 records in JSON-LD format) and a control group (14 records in HTML format). Another research population is Web search engines (Google and Bing) which was selected by the targeted sampling method. These records were published on an independent website and introduced directly to search engines. The data collection method was structured observation and the data collection tool was researcher-made checklists.<br /><strong>Results</strong>: The results showed that Google and Bing search engines indexed the metadata records of person entities in two experimental groups (Microdata and JSON-LD) and also were done semantic visible. The metadata records of the control groups were also indexed in search engines but were not semantic visibility.<br /><strong>Conclusions</strong>: Using Scema.org and its syntactic context for markup to create rich snippets will improve their indexability and semantic visibility in Web search engines. Creating structured data in the Web environment will lead to the realization of the Semantic web, and the retrieval of knowledge.<br /><strong> </strong> https://stim.qom.ac.ir/article_1874_94ad1be966cdc437b692b1f998a94dd0.pdf