Document (#43567)

Author

Wang, X.
Song, N.
Zhou, H.
Cheng, H.

Title

Argument ontology for describing scientific articles : a statistical study based on articles from two research areas

Source

Proceedings of the Association for Information Science and Technology 56(2019) no.1, S.855-857

Year

2019

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.

Content

Vgl.: https://www.researchgate.net/publication/336655910_Argument_ontology_for_describing_scientific_articles_A_statistical_study_based_on_articles_from_two_research_areas. DOI: 10.1002/pra2.204.

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4. Ling, X.; Jiang, J.; He, X.; Mei, Q.; Zhai, C.; Schatz, B.: Generating gene summaries from biomedical literature : a study of semi-structured summarization (2007) 0.18

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5. Rodríguez-Navarro, A.: Research assessment based on infrequent achievements : a comparison of the United States and Europe in terms of highly cited papers and Nobel Prizes (2016) 0.18

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