NETME：从生物医学文献中即时构建知识网络
NETME: on-the-fly knowledge network construction from biomedical literature.
作者信息
Muscolino Alessandro, Di Maria Antonio, Rapicavoli Rosaria Valentina, Alaimo Salvatore, Bellomo Lorenzo, Billeci Fabrizio, Borzì Stefano, Ferragina Paolo, Ferro Alfredo, Pulvirenti Alfredo
机构信息
Department of Physics and Astronomy, University of Catania, Catania, Italy.
Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
出版信息
Appl Netw Sci. 2022;7(1):1. doi: 10.1007/s41109-021-00435-x. Epub 2022 Jan 6.
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 , which, starting from a set of full-texts obtained from , 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.
背景
迅速增长的生物学文献是自动提取和获取有关生物元素及其关系知识的关键资源。知识网络是生物知识发现和建模背景下的有用工具。
结果
我们引入了一种名为 的新型系统，该系统从通过易于使用的网络界面从 获得的一组全文开始，以交互方式从本体数据库中提取生物元素，然后合成推断这些元素之间关系的网络。结果清楚地表明，我们的工具能够推断出全面且可靠的生物网络。
补充信息
在线版本包含可在10.1007/s41109-021-00435-x获取的补充材料。
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