Premium
Argument ontology for describing scientific articles: A statistical study based on articles from two research areas
Author(s) -
Zhou Huimin,
Song Ningyuan,
Cheng Hanghang,
Wang Xiaoguang
Publication year - 2019
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.204
Subject(s) - ontology , argument (complex analysis) , field (mathematics) , computer science , data science , information retrieval , scientific field , epistemology , mathematics , philosophy , engineering , medicine , work (physics) , mechanical engineering , pure mathematics
ABSTRACT The research provides (1) an account of the construction of a new Scientific Argument Ontology (SAO), (2) a statistical analysis of 40 articles from both fields of Library and Information Science and Biomedical Research, and (3) a summary of important differences between the article structures common to each respective field of study and characteristics of their contents as revealed by applying SAO to conduct qualitative analysis. Ontology coverage ratios as well as the ratios of different classes and evidence types were calculated in the analysis. The results show a comprehensive coverage of SAO, while also indicate that the ontological construction of scientific arguments should fully consider the characteristics of their disciplines and fields in order to better facilitate extraction, discovery and retrieval.