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

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

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.

SUBMITTER: Muscolino A

PROVIDER: S-EPMC8733431 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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

Muscolino Alessandro A Di Maria Antonio A Rapicavoli Rosaria Valentina RV Alaimo Salvatore S Bellomo Lorenzo L Billeci Fabrizio F Borzì Stefano S Ferragina Paolo P Ferro Alfredo A Pulvirenti Alfredo A

Applied network science 20220106 1

<h4>Background</h4>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.<h4>Results</h4>We introduce a novel system called <i>NETME</i>, which, starting from a set of full-texts obtained from <i>PubMed</i>, through an easy-to-use web interface, interactively extracts biological elements from on ...[more]

PMID: 35013714

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