Developer(s) | The Open University |
---|---|
Stable release | CSO 3.2
/ June 2020 |
Type | |
License | Creative Commons Attribution 4.0 International License |
Website |
cso |
The Computer Science Ontology (CSO) is an automatically generated taxonomy of research topics in the field of Computer Science. [1] [2] It was produced by the Open University in collaboration with Springer Nature by running an information extraction system over a large corpus of scientific articles. [3] Several branches were manually improved by domain experts. The current version (CSO 3.2 [4]) includes about 14K research topics and 160K semantic relationships. [5]
CSO is available in OWL, Turtle, and N-Triples. It is aligned with several other knowledge graphs, including DBpedia, Wikidata, YAGO, Freebase, and Cyc. New versions of CSO are regularly released on the CSO Portal. [6]
CSO is mostly used to characterise scientific papers and other documents according to their research areas, in order to enable different kinds of analytics. [7] The CSO Classifier [8] is an open-source python tool for automatically annotating documents with CSO.
Developer(s) | The Open University |
---|---|
Stable release | CSO 3.2
/ June 2020 |
Type | |
License | Creative Commons Attribution 4.0 International License |
Website |
cso |
The Computer Science Ontology (CSO) is an automatically generated taxonomy of research topics in the field of Computer Science. [1] [2] It was produced by the Open University in collaboration with Springer Nature by running an information extraction system over a large corpus of scientific articles. [3] Several branches were manually improved by domain experts. The current version (CSO 3.2 [4]) includes about 14K research topics and 160K semantic relationships. [5]
CSO is available in OWL, Turtle, and N-Triples. It is aligned with several other knowledge graphs, including DBpedia, Wikidata, YAGO, Freebase, and Cyc. New versions of CSO are regularly released on the CSO Portal. [6]
CSO is mostly used to characterise scientific papers and other documents according to their research areas, in order to enable different kinds of analytics. [7] The CSO Classifier [8] is an open-source python tool for automatically annotating documents with CSO.