论文标题
本体驱动的治疗文章检索精度肿瘤学的检索系统
An Ontology-driven Treatment Article Retrieval System for Precision Oncology
论文作者
论文摘要
本文介绍了一个本体驱动的治疗文章检索系统，使用TREC 2017 Precision Medicine Track提供的数据和地面真相开发和实验。我们系统的关键方面包括：各种疾病，基因和药物名称的有意义整合，对文章相关性标签的新型感知模型的培训，一个排名模块，该模块考虑了其他因素，例如期刊影响和文章出版年，以及全面的查询匹配规则。实验结果表明，我们提出的系统大大优于TREC 2017 Precision Medicine Challenge的最佳参与系统的结果。
This paper presents an ontology-driven treatment article retrieval system developed and experimented using the data and ground truths provided by the TREC 2017 precision medicine track. The key aspects of our system include: meaningful integration of various disease, gene, and drug name ontologies, training of a novel perceptron model for article relevance labeling, a ranking module that considers additional factors such as journal impact and article publication year, and comprehensive query matching rules. Experimental results demonstrate that our proposed system considerably outperforms the results of the best participating system of the TREC 2017 precision medicine challenge.
