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迈向生物信息学的语义基础

Towards a semantic foundation for bioinformatics
课程网址: http://videolectures.net/eswc2010_king_tasf/  
主讲教师: King Ross D
开课单位: 曼彻斯特大学
开课时间: 2010-06-30
课程语种: 英语
中文简介:
有着两千五千年的传统逻辑,是表达科学知识的最好的理解方式。只有逻辑提供了确保知识的可理解性、再现性和自由交换所必需的语义清晰性。使用逻辑也是使计算机在科学中发挥全部作用的必要条件[1]。语义网是通过第一次使大量的科学知识以逻辑形式表达,从而改变了科学传播的方式。生物信息学是语义网络的成功案例之一,生物信息学知识占科学语义网络的很大比例。许多使语义Web推理困难的问题并不适用于生物信息学:科学知识的基本真理存在,顶级本体已经被认可(bfo),许多其他本体标准存在,生物信息语义Web很大但不太大。生物信息学软件的使用对现代生物学至关重要。然而,语义网和逻辑的使用越来越多,以及生物信息系统如何利用这些知识进行推理之间存在着明显的不匹配。这是因为几乎所有基于计算机的生物信息学推理都是使用特殊程序完成的。从形式上看,这些程序总是做出逻辑推论:推论、诱拐、归纳,也许还有概率因素。然而,这些推论究竟是什么,通常还不清楚。我的研究的目的是使这些推论清晰,并用逻辑表达它们,并使它们在语义网络上可执行。
课程简介: With a two and half thousand year tradition logic is the best understood way of representing scientific knowledge. Only logic provides the semantic clarity necessary to ensure the comprehensibility, reproducibility, and free exchange of knowledge. The use of logic is also necessary to enable computers to play a full part in science [1]. The semantic web is transforming the dissemination of science by making for the first time making a large amount of scientific knowledge available expressed in logic. Bioinformatics is one of the undoubted successes stories of the semantic web, with bioinformatic knowledge making up a large percentage of the scientific semantic web. Many of the problems that make semantic web reasoning difficult don't apply to bioinformatics: a ground truth of scientific knowledge exists, top level ontologies have been agreed (BFO), many other ontological standards exist, and the bioinformatic semantic web is large but not too large. The use of bioinformatic software is essential to modern biology. However, there is a clear mismatch between the increasing use of the semantic web and logic, and the way bioinformatic systems utlilise and make inferences with this knowledge. This is because almost all computer based bioinformatic reasoning is done using ad hoc programs. From a formal point of view these programs are invariably making logical inferences: deductions, abductions, inductions, with perhaps a probabilistic element. However, what exactly these inferences exactly are is generally unclear. The aim of my research is to make these inferences clear and to express them in logic, and make them executable across the semantic web.
关 键 词: 传统逻辑; 生物信息学; 本体论; 逻辑推论
课程来源: 视频讲座网
最后编审: 2019-12-07:lxf
阅读次数: 48