摘要
以生物医药公司年度报告为载体,设计了一种基于领域本体的信息抽取方法获取药品研发信息。首先依据药品研发固有的基本流程构建了领域本体词典,在对样本文档进行预处理的基础上介绍了时间词和否定词的处理;然后基于映射原理并结合触发机制、继承机制和选择机制,抽取并规范化药品研发信息;最后对抽取结果进行了查准率和查全率分析,证明了信息抽取方法的有效性。
Taking annual report as a carder, this paper proposes an information extraction method for biological companies＇ drugs R＆D in- formation based on domain ontology. First, the domain ontology dictionaries according to the basic process of drugs R＆D is constructed and the process of times words and negative words after preprocessing the sample PDF documents is introduced in detail. Then, extracting and normalizing drugs R＆D information are done by using mapping principle as well as trigger, inheritance, and selection mechanisms. Fi- nally, computing precision ratio and recall ratio based on the results of information extraction proves the validity of the method.
出处
《情报杂志》
CSSCI
北大核心
2012年第12期130-134,64,共6页
Journal of Intelligence
基金
国家自然科学基金湖南大学青年教师基金项目"基于语义的上市公司年报文本信息质量测度方法及应用"(编号:71201052)
关键词
信息抽取
领域本体
映射原理
生物医药公司
药品研发
年度报告
information extraction domain ontology mapping principle biological companies drugs R＆D annual report
