Ontology Extraction and Usage in the Scholarly Knowledge Domain
Angelo A. Salatino, Francesco Osborne, Enrico Motta · BOA (University of Milano-Bicocca) · 2020
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.