Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules

Lucie Cadorel, Andrea G. B. Tettamanzi. Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules. In Jing He 0004, Hemant Purohit, Guangyan Huang, Xiaoying Gao, Ke Deng, editors, IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020. pages 145-152, IEEE, 2020. [doi]

Abstract

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