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.

Salatino, A., Osborne, F., Motta, E. (2020). Ontology Extraction and Usage in the Scholarly Knowledge Domain. In G. Cota, M. Daquino, G.L. Pozzato (a cura di), Applications and Practices in Ontology Design, Extraction, and Reasoning (pp. 91-106). Ios Press [10.3233/SSW200037].

Ontology Extraction and Usage in the Scholarly Knowledge Domain

Osborne F;
2020

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.
Capitolo o saggio
Ontology Design;
English
Applications and Practices in Ontology Design, Extraction, and Reasoning
978-1-64368-142-9
https://www.iospress.com/catalog/books/applications-and-practices-in-ontology-design-extraction-and-reasoning
Salatino, A., Osborne, F., Motta, E. (2020). Ontology Extraction and Usage in the Scholarly Knowledge Domain. In G. Cota, M. Daquino, G.L. Pozzato (a cura di), Applications and Practices in Ontology Design, Extraction, and Reasoning (pp. 91-106). Ios Press [10.3233/SSW200037].
Salatino, A; Osborne, F; Motta, E
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/381619
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