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Ontology Extraction and Usage in the Scholarly Knowledge Domain
arXiv - CS - Information Retrieval Pub Date : 2020-03-27 , DOI: arxiv-2003.12611
Angelo A. Salatino, Francesco Osborne, Enrico Motta

Ontologies of research areas have been proven to be useful in many application for analysing and making sense of scholarly data. In this chapter, we present the Computer Science Ontology (CSO), which is the largest ontology of research areas in the field of Computer Science, and discuss a number of applications that build on CSO, to support high-level tasks, such as topic classification, metadata extraction, and recommendation of books.

中文翻译:

学术知识领域中的本体提取与使用

研究领域的本体已被证明在许多用于分析和理解学术数据的应用中是有用的。在本章中,我们介绍了计算机科学本体 (CSO),它是计算机科学领域研究领域最大的本体,并讨论了许多基于 CSO 的应用程序,以支持高级任务,例如主题图书分类、元数据提取和推荐。
更新日期:2020-08-05
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