Ontology Extraction and Usage in the Scholarly Knowledge Domain
This work addresses the need for structured knowledge in the scholarly domain, but it is incremental as it builds on existing ontology concepts without introducing a new paradigm.
The authors tackled the problem of analyzing scholarly data by introducing the Computer Science Ontology (CSO), the largest ontology of research areas in Computer Science, and demonstrated its applications in tasks like topic classification, metadata extraction, and book recommendations.
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.