Research publisher Springer Nature and the Knowledge Media Institute (KMi) of The Open University have partnered to provide a comprehensive Computer Science Ontology (CSO) to a broad range of communities engaged with scholarly data. CSO 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.
Ontologies of research areas are important tools for characterising, exploring, and analysing a research landscape. This CSO contains information about 14,000 research topics and was automatically generated by means of the specialised data mining technologies developed by the SKM3 team at the Knowledge Media Institute. This resource presents several advantages over alternative taxonomies: it is produced entirely automatically and therefore can be regularly updated with little effort; it is generated from a very large corpus of publications in computer science; and it provides a fine-grained characterisation of this field of study. Indeed, this CSO is about an order of magnitude larger than other current characterisations of this field.
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.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
