The Computer Science Ontology (CSO)
收藏科学数据银行2020-09-30 更新2026-04-23 收录
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https://www.scidb.cn/en/detail?dataSetId=662664481360314368
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资源简介：
the Computer Science Ontology (CSO), a large-scale, automatically generated ontology of research areas, which includes about 14K topics and 162K semantic relationships. It was created by applying the Klink-2 algorithm on a very large data set of 16M scientific articles. CSO presents two main advantages over the alternatives: i) it includes a very large number of topics that do not appear in other classifications, and ii) it can be updated automatically by running Klink-2 on recent corpora of publications. CSO powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions, such as classifying research publications, detecting research communities, and predicting research trends. To facilitate the uptake of CSO, we have also released the CSO Classifier, a tool for automatically classifying research papers, and the CSO Portal, a Web application that enables users to download, explore, and provide granular feedback on CSO. Users can use the portal to navigate and visualize sections of the ontology, rate topics and relationships, and suggest missing ones. The portal will support the publication of and access to regular new releases of CSO, with the aim of providing a comprehensive resource to the various research communities engaged with scholarly data.
提供机构：
Springer-Verlag GmbH, Tiergartenstrasse 17, 69121 Heidelberg, Germany; Thiviyan Thanapalasingam; Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK
创建时间：
2020-09-30
