NETME: on-the-fly knowledge network construction from biomedical literature

Applied Network Science

Antonio Di Maria¹  Salvatore Alaimo¹  Alfredo Pulvirenti¹  Alfredo Ferro¹  Lorenzo Bellomo²  Paolo Ferragina²  Stefano Borzì³  Fabrizio Billeci³  Alessandro Muscolino⁴  Rosaria Valentina Rapicavoli⁴ 

[1] Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy;Department of Computer Science, University of Pisa, Pisa, Italy;Department of Maths and Computer Science, University of Catania, Catania, Italy;Department of Physics and Astronomy, University of Catania, Catania, Italy;

关键词: Network analysis;    Knowledge graph;    Text mining;   

DOI  :  10.1007/s41109-021-00435-x

来源: Springer

【 摘 要 】

BackgroundThe rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the context of biological knowledge discovery and modeling.ResultsWe introduce a novel system called NETME, which, starting from a set of full-texts obtained from PubMed, through an easy-to-use web interface, interactively extracts biological elements from ontological databases and then synthesizes a network inferring relations among such elements. The results clearly show that our tool is capable of inferring comprehensive and reliable biological networks.

【 授权许可】

CC BY