互联网药品信息抽取算法的研究-计算机软件与理论专业论文.docxVIP

互联网药品信息抽取算法的研究 互联网药品信息抽取算法的研究 摘要 摘 要 目前，互联网上虚假药品信息泛滥，急需先进的互联网信息抽取技术来增强 国家药监部门对医药电子商务市场的监管能力。为此，作者所在的课题组展开了 对互联网药品监测技术的深入探讨。作者参与了其中关键技术一一互联网药品信 息抽取算法的研究工作，并取得了突出成果。 常用的互联网信息抽取技术存在准确率不高、覆盖率低、人工干预多等诸多 缺陷，无法满足对互联网药品信息进行全面、准确、实时、自动抽取的需求。本 文在国内外相关研究的基础上，提出了一种新的互联网药品信息抽取算法，通过 引入语义技术构建互联网药品信息三维语义词典，屏蔽不同药品交易网站在网页 内容和结构上的异构性，同时利用药品信息网页中所需抽取的目标药品属性往往 具有一定聚集度的特征，基于信息熵的基本理论设计出能对目标信息进行智能定 位和抽取的方法。文中还介绍了该抽取算法的具体设计和实现，并通过相关实验 证明了该抽取算法既可以大大降低信息抽取的人工干预程度，又具备较高的准确 率和召回率。 应用该抽取算法能实时自动全面准确地获取、监测和管理互联网药品交易信 息，为政府药监部门提供丰富的监管依据及智能化全程在线监：测的技术手段，对 规范医药电子商务市场，保证公众的用药安全具有重要的现实意义。 关键词：信息抽取，语义词典，信息熵，医药电子商务 中图分类号：TP311 Abstractthus Abstract thus aIl Currently．the Internet is flooded with false drug information，and advanced web information extraction technology is extremely necessary to reintorce the SUpervision of related departments of the country over medical electronic buslness into markets．For this purpose，the research group that the author joined has probed in the technology in supervision of online drug information．The author participated one of the key technologies，research on the extraction algorittnn of online drug information，and has gained some outstanding achievements· The traditional web information extraction technology commonly used cannot meet the need of comprehensive，accurate，real—time and automatical extraction ot online drug information due to many of its defects such as l OW accuracy，low coverage，and manual intervention required，etc· novel Based on the related studies at home and broad，this article puts forward online drug information extraction algorithm．The algorithm sets up a t11ree．dimentional semantic dictionary by introduction of the semanncs technology， masks the isomerisms of the web page contents and structures of different drug trade websites．and at the same time，taking advantage of the fact that the attributes of the target drug needed tO be extracted from the drug infor