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从文献中挖掘生物信息学Web服务的语义描述

Mining Semantic Descriptions of Bioinformatics Web Services from the Literature
课程网址: http://videolectures.net/eswc09_nenadic_msdob/  
主讲教师: Goran Nenadic
开课单位: 曼彻斯特大学
开课时间: 2009-07-28
课程语种: 英语
中文简介:
已经启动了许多项目(myGrid,BioMOBY等)来组织新兴的生物信息学Web服务并提供其语义描述。他们通常依靠手动策划工作。在本文中,我们专注于从生物信息学文献中挖掘语义描述的半自动化方法。该方法结合了期刊文章的术语处理和依赖性解析,并应用信息提取技术来使用信息性文本段落,相关的本体注释和服务描述符来描述Web服务。服务描述符是反映相关语义类(例如算法,数据库等)的特定角色(例如输入,输出等)的术语短语。它们可用于促进随后的服务手动描述,也可用于提供可用于定位相关服务的服务的语义概要。我们提供了一个案例研究,涉及BMC生物信息学期刊的一部分全文文章。我们说明了自然语言处理的潜力,不仅可以用于挖掘已知服务的描述,还可以用于发现文献中描述的新服务。
课程简介: A number of projects (myGrid, BioMOBY, etc.) have been initiated to organise emerging bioinformatics Web Services and provide their semantic descriptions. They typically rely on manual curation efforts. In this paper we focus on a semi-automated approach to mine semantic descriptions from the bioinformatics literature. The method combines terminological processing and dependency parsing of journal articles, and applies information extraction techniques to profile Web services using informative textual passages, related ontological annotations and service descriptors. Service descriptors are terminological phrases reflecting specific roles (e.g. input, output, etc.) of the related semantic classes (e.g. algorithm, database, etc.). They can be used to facilitate subsequent manual description of services, but also for providing a semantic synopsis of a service that can be used to locate related services. We present a case-study involving a subset of full text articles from the BMC Bioinformatics journal. We illustrate the potential of natural language processing not only for mining descriptions of known services, but also for discovering new services that have been described in the literature.
关 键 词: 生物信息; Web服务; 术语处理
课程来源: 视频讲座网
最后编审: 2019-04-13:lxf
阅读次数: 56