NETME: on-the-fly knowledge network construction from biomedical literature
Alessandro Muscolino, Antonio Di Maria, Rosaria Valentina Rapicavoli, Salvatore Alaimo, Lorenzo Bellomo, Fabrizio Billeci, Stefano Borzì, Paolo Ferragina, Alfredo Ferro, Alfredo Pulvirenti
Abstract
BACKGROUND: The 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. RESULTS: , 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41109-021-00435-x.