Hsiao Mei-Yu, Chen Der-Yow, Chen Jyh-Horng
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:1188-91. doi: 10.1109/IEMBS.2007.4352509.
Toward the goal of understanding the human brain function, we have developed a web-based Human Brain Functional Mapping Knowledge Base (HBFMKB) system to mining human brain-function association model from vast Medline abstracts. Since nomenclature and relationships among cognitive functions have no consensus yet, we use rule-based natural language processing methods to extract behavioral task and cognitive function and do n-gram approximate concept mapping by the Unified Medical Language system (UMLS) knowledge source. The HBFMKB system has an automatic PubMed MEDLINE download and import system, name entity extraction system and interactive visualization system. In summary, the HBFMKB system helps scientists to get digest knowledge before design experiments and compare their results with current literature.
为了实现理解人类大脑功能这一目标，我们开发了一个基于网络的人类大脑功能图谱知识库（HBFMKB）系统，用于从大量的医学在线数据库（Medline）摘要中挖掘人类大脑功能关联模型。由于认知功能之间的命名法和关系尚未达成共识，我们使用基于规则的自然语言处理方法来提取行为任务和认知功能，并通过统一医学语言系统（UMLS）知识源进行n元语法近似概念映射。HBFMKB系统具有自动的PubMed MEDLINE下载和导入系统、命名实体提取系统以及交互式可视化系统。总之，HBFMKB系统有助于科学家在设计实验之前获取精炼的知识，并将他们的结果与当前文献进行比较。
