摘要
作为科学论文内容的组成部分,论证结构揭示了科学论文内的重要观点、结论及其论证过程,是论文内蕴含的一类重要隐性知识。规范描述和准确表征论文内的论证结构,对于科学论文的语义增强、语义检索和基于文献的知识发现具有重要意义。本文针对科学论文的论证结构,基于通用的论证理论,在复用多个出版物相关本体的基础上,构建了一个新颖的论证本体(scientific paper argumentation ontology,SAO),包括7个核心类、13个扩展类和15种关系。为了评估SAO本体的可用性,本研究选择图书情报与生物医学领域的40篇科学论文进行了语义标注应用实验。统计结果表明,SAO本体具有较强的论证单元和论证结构的表达能力,不同领域的科学论文的论证结构相似,但存在一定差异。
Argumentation structure,an integral part of scientific papers,is an important kind of tacit knowledge that relates the claims made by scientific papers to their argumentation process.Normative description and accurate representation of scientific papersargumentation structure is of great significance to semantic enhancement of scientific papers and document-based knowledge discovery.Based on argumentation theory,this study constructs a new Scientific Paper Argumentation Ontology(SAO)by reusing the existing document component ontology.SAO includes 7 core classes,13 extended classes,and 15 attribute relationships.To evaluate its usability,40 scientific papers from the fields of library and information science and biomedical science were selected for semantic annotation experiments.The statistical results showed that SAO has strong expression ability,and that although there are some similarities between the argumentation structure of scientific papers in different fields,their argumentation modes differ.
作者
王晓光
周慧敏
宋宁远
Wang Xiaoguang;Zhou Huimin;Song Ningyuan(School of Information Management,Wuhan University,Wuhan 430072;School of Information Management,Nanjing University,Nanjing 210023)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第9期885-895,共11页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目“基于认知计算的学术论文评价理论与方法研究”(17ZDA292)
国家自然科学基金面上项目“基于大规模开放科学知识图谱的学科新兴趋势探测研究”(71874129)。
关键词
科学论文
论证结构
论证本体
语义出版
深度语义标注
scientific paper
argumentation structure
argumentation ontology
semantic publishing
deep semantic annotation