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

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: We introduce a novel...

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Detalles Bibliográficos
Autores principales: Muscolino, Alessandro, Di Maria, Antonio, Rapicavoli, Rosaria Valentina, Alaimo, Salvatore, Bellomo, Lorenzo, Billeci, Fabrizio, Borzì, Stefano, Ferragina, Paolo, Ferro, Alfredo, Pulvirenti, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733431/
https://www.ncbi.nlm.nih.gov/pubmed/35013714
http://dx.doi.org/10.1007/s41109-021-00435-x
Descripción
Sumario: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: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41109-021-00435-x.

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