科技文献内容语义描述模型研究  

Semantic Models for the Content of Scientific Literature

作　　者：王颖[1] WANG Ying(National Science Library,Chinese Academy of Sciences,Beijing 100190)

机构地区：[1]中国科学院文献情报中心,北京100190

出　　处：《农业图书情报学报》2020年第8期12-24,共13页Journal of Library and Information Science in Agriculture

基　　金：国家社会科学青年基金项目“基于关联数据的学术资源深度挖掘方法研究”(15CTQ006)。

摘　　要：[目的/意义]对科技文献正文内容进行语义建模的方法进行总结分析,为文献模型相关研究和实际应用提供参考和借鉴。[方法/过程]归纳当前科技文献内容语义描述模型的特点,将其分为文档组件模型、修辞特征模型和科学论述模型3类,并进行对比分析,以学术论文为例开展应用实践,从知识管理、语义出版、语义检索、科学论证分析等方面探讨模型的应用情况。[结果/结论]科技文献内容语义描述模型推动了文献的深度挖掘、知识结构定位和关联分析,促进了文献内部细粒度知识的发现、共享和利用,有助于科学传播与知识创新。[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.

关 键 词：科技文献 文档组件 修辞特征 科学论述 语义模型 数据控据 

分 类 号：G302[文化科学]