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Computer Science Ontology information


Computer Science Ontology
Developer(s)The Open University
Stable release
CSO 3.2 / June 2020
Type
  • Ontology
  • Taxonomy
  • Linked data
LicenseCreative Commons Attribution 4.0 International License
Websitecso.kmi.open.ac.uk

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.

  1. ^ Kotis, K.I., Vouros, G.A. and Spiliotopoulos, D., 2020. Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations. The Knowledge Engineering Review, 35. [1]
  2. ^ Fathalla, S., Auer, S. and Lange, C., 2020, March. Towards the semantic formalization of science. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 2057-2059). [2]
  3. ^ "Press Release - Springer Nature". 5 January 2020. Retrieved 2020-01-10.
  4. ^ "Last version of CSO". 6 July 2020. Retrieved 2020-07-06.
  5. ^ Salatino, A.A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F. and Motta, E. (2019) The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas, Data Intelligence. [3]
  6. ^ "The CSO Portal". Retrieved 4 January 2020.
  7. ^ Zhang, X., Chandrasegaran, S. and Ma, K.L., 2020. ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. arXiv preprint arXiv:2003.05108. [4]
  8. ^ "The CSO Classifier". Retrieved 4 January 2020.

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