Ontology Extraction and Usage in the Scholarly Knowledge Domain

Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2020). Ontology Extraction and Usage in the Scholarly Knowledge Domain. In: Cota, Giuseppe; Daquino, Marilena and Pozzato, Gian Luca eds. Applications and Practices in Ontology Design, Extraction, and Reasoning. Studies on the Semantic Web. IOS Press, pp. 91–106.

DOI: https://doi.org/10.3233/SSW200037

Abstract

Ontologies of research areas have been proven to be useful resources 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, 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.

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About

• Item ORO ID
• 72232
• Item Type
• Book Section
• Keywords
• Scholarly Data;Ontology Learning;Bibliographic Data;Scholarly Ontologies
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• eSTEeM
• Depositing User
• Francesco Osborne