This study aims to assess the localization of Schema.org for manuscript description in the Iranian-Islamic information context using documentary and qualitative content analysis. The schema.org introduces schemas for different Web content objects so as to generate structured data. Given that the structure of Schema.org is ontological, the inheritance of the manuscript types from the properties of their parent types, as well as the localization and description of the specific properties of the manuscripts in the Iranian-Islamic information context were investigated in order to improve their indexability and semantic visibility in the Web search engines. The proposed properties specific to the manuscript type and the six proposed properties to be added to the “CreativeWork” type are found to be consistent with other schema properties. In turn, these properties lead to the localization of the existing schema for the manuscript type compatibility with the Iranian-Islamic information context. This schema is also applicable to centers with published records on the Web, and if markup with these properties, their indexability and semantic visibility in Web search engines increases accordingly. The generation of structured data in the Web environment through this schema is deemed to promote the concept of the Semantic Web, and make data and knowledge retrieval easier.
Introduction:Plagiarism is defined as intentional deceiving or lack of honesty, which deprives others from both material and spiritual possessions. Ethics is considered as one of the most important aspects of evaluating the quality of higher education. Moreover, scientific ethics should be reflected from university values, as a specialized institution, rather than being a reflection of the others cares. Therefore, the main aim of the present study is explore of expert experiences about plagiarism in Isfahan University of Medical Sciences.Materials and Methods:This study employed qualitative method with using in-deep interview. The research participants consisted of 21, who tend to this work. Semi structure interview were conducted and recorded. The method of analyzing data was ‘thematic analysis’. The data were transcribed and saved on computer after each interview. Themes and sub-themes were extracted. Finally, relevant sub-themes were arranged in a category and suggested were presented.Result:Analyzing data showed 600 primary codes, 40 sub-themes and 6 themes. The main themes included repeated works, non-normative adoption, non-normative adaptation, shares distribution, forging, and profit-seeking, each of which consisted of one or several subgroups.Conclusion:The findings of this study show that since, there are numerous ways of cheating, the universities’ research committees must create institutions in order to educate the individuals how to avoid plagiarism. In addition, providing information about different types of scientific violations, as well as their following punishments might lead to the decrease of such misbehaviors.
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