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Knowledge Networks are helpful tools in the context of biological knowledge discovery and modeling.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>We introduce a novel system called <jats:italic>NETME<\/jats:italic>, which, starting from a set of full-texts obtained from <jats:italic>PubMed<\/jats:italic>, 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.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s41109-021-00435-x","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T09:02:24Z","timestamp":1641459744000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["NETME: on-the-fly knowledge network construction from biomedical literature"],"prefix":"10.1007","volume":"7","author":[{"given":"Alessandro","family":"Muscolino","sequence":"first","affiliation":[]},{"given":"Antonio","family":"Di Maria","sequence":"additional","affiliation":[]},{"given":"Rosaria Valentina","family":"Rapicavoli","sequence":"additional","affiliation":[]},{"given":"Salvatore","family":"Alaimo","sequence":"additional","affiliation":[]},{"given":"Lorenzo","family":"Bellomo","sequence":"additional","affiliation":[]},{"given":"Fabrizio","family":"Billeci","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Borz\u00ec","sequence":"additional","affiliation":[]},{"given":"Paolo","family":"Ferragina","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Ferro","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Pulvirenti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,6]]},"reference":[{"key":"435_CR1","doi-asserted-by":"publisher","DOI":"10.1101\/2020.01.20.912279","author":"S Alaimo","year":"2020","unstructured":"Alaimo S, Rapicavoli RV, Marceca GP, La Ferlita A, Serebrennikova OB, Tsichlis PN, Mishra B, Pulvirenti A, Ferro A (2020) Phensim: phenotype simulator. bioRxiv. https:\/\/doi.org\/10.1101\/2020.01.20.912279","journal-title":"bioRxiv"},{"issue":"1","key":"435_CR2","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/nrg2918","volume":"12","author":"A Barab\u00e1si","year":"2010","unstructured":"Barab\u00e1si A, Gulbahce N, Loscalzo J (2010) Network medicine: a network-based approach to human disease. 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