A Semantic Model for Scholarly Electronic Publishing.
Carlos Henrique Marcondes · 2011
Abstract. Despite numerous advancements in information technology, electronic publishing is still based on the print text model. The natural language textual format prevents programs from semantically processing article content. A semantic model for scholarly electronic publishing is proposed, in which the article conclusion is specified by the author and recorded in a machine-understandable format, enabling semantic retrieval and identification of traces of scientific discoveries and knowledge misunderstandings. 89 biomedical articles were analyzed for this purpose. A prototype system that partially implements the proposed model was developed. Four patterns of reasoning and sequencing of semantic elements were identified in the analyzed articles. A content model comprising semantic elements and their sequences in articles is proposed. The development and testing of a prototype of a Web submission interface to an electronic journal system that implements the proposed model are reported.