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Automatic semantic classification of scientific literature according to the hallmarks of cancer

机译:根据癌症特征自动对科学文献进行语义分类

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Motivation: The hallmarks of cancer have become highly influential in cancer research. They reduce the complexity of cancer into 10 principles (e.g. resisting cell death and sustaining proliferative signaling) that explain the biological capabilities acquired during the development of human tumors. Since new research depends crucially on existing knowledge, technology for semantic classification of scientific literature according to the hallmarks of cancer could greatly support literature review, knowledge discovery and applications in cancer research.
机译:动机:癌症的标志在癌症研究中已具有很大的影响力。它们将癌症的复杂性降低为10条原则(例如,抵抗细胞死亡和维持增殖信号转导),这些原理解释了人类肿瘤发展过程中获得的生物学功能。由于新研究至关重要地依赖于现有知识,因此根据癌症的特征对科学文献进行语义分类的技术可以极大地支持文献综述,知识发现以及在癌症研究中的应用。

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