Springer Nature and The Open University launch a unique Computer Science Ontology (CSO)

The new ontology portal is the largest taxonomy of research topics in computer science available to date. The project was done in cooperation between Springer Computer Science Editorial Heidelberg and the University of Mannheim.

The comprehensive CSO for a broad range of communities engaged with scholarly data can be accessed free of charge through the CSO Portal, a web application that enables users to download, explore, and provide feedback on the ontology. It contains information about 14,000 research topics and was automatically generated by means of the specialized data mining technologies developed by the SKM3 team at the Knowledge Media Institute.  The CSO currently supports a variety of tools and research prototypes for classifying and recommending research publications, making sense of research dynamics, modelling the evolution of research communities, and forecasting research trends. 

Aliaksandr Birukou, Executive Editor Computer Science at Springer Nature, said: "It is great to see this joint project live and publicly available to everybody. Consistent content classification as a key challenge is addressed by machine-driven and repeatable ontology generation, and embedded in our metadata workflows. The use of CSO within Springer Nature has helped us to improve the discovery of relevant content. However, its potential is well beyond the current use cases, as it could be successfully applied, for example, in finding reviewers, transferring submissions between journals and conferences, and many more situations.”

Read the press release for more information