Semantic Models for the Content of Scientific Literature

Abstract

[Purpose / Significance] This paper summarizes and analyzes the semantic models for the content of scientific literature in order to provide references for the research and application of literature modeling. [Method / Process] According to the characteristics, current semantic models for scientific literature are divided into document component model, rhetoric structure model and scientific discourse model. Based on the comparative analysis among these semantic models, a journal article is taken as an example to discuss the applications of semantic models from the perspectives of knowledge management, semantic publishing, semantic retrieval, and scientific discourse analysis. [Results / Conclusions] The semantic model for the content of scientific literature promotes the in-depth exploration of literature, the positioning of knowledge structure and the correlation analysis, improves the discovery, sharing and utilization of fine-grained knowledge in literature, and will contribute to science communication and knowledge innovation.

Keywords

• scientific literature|document component|rhetorical structure|scientific discourse|semantic model|data mining