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保健与生命科学的语义网

Semantic Web for Health Care and Life Sciences
课程网址: http://videolectures.net/iswc08_prudhommeaux_swhcls/  
主讲教师: Christian Bizer; Holger Stenzhorn; Phil Brooks; Alexandre Passant; Eric Prud’hommeaux; Chimezie Ogbuji; Tim Clark
开课单位: 巴斯大学
开课时间: 2008-11-24
课程语种: 英语
中文简介:
W3C语义网在卫生保健和生命科学兴趣小组(HCLSig)已经使用RDF工具集成了几个大型生物和临床数据库。这简化了对关系和层次数据的访问,并使第三方能够添加到数据库中。HCLSig演示了使用语义Web技术在Web规模上访问数据,利用OWL和规则允许查询重新使用数据,而无需与数据管理员协调。本教程将介绍数据库的OWL和规则映射,并介绍数据建模和发布的良好实践。还将描述skos在术语中的使用。与会者将学习语义Web工具的可能应用,以便在组织之间和内部共享数据,并解决大规模数据集成问题。本教程将讨论生物和临床数据的发布者如何使用OWL和规则对其数据进行建模,以及语义Web工具的用户如何访问这些更加多样化的数据。与会者应该熟悉语义Web语言RDF、Turtle、SPARQL,并向OWL介绍这些语言。这些材料将在早期的RSWA教程中介绍。
课程简介: The W3C Semantic Web in Health Care and Life Sciences Interest Group (HCLSIG) has used RDF tools to integrate several large biological and clinical databases. This has simplified access to relational and hierarchical data and enabled third party additions to the database. HCLSIG demonstrates the use of Semantic Web technologies to access data on a web scale, taking advantage of OWL and rules to allow queries to re-purpose data without the need to coordinate with the data custodian. This tutorial will introduce OWL and rule mappings of databases, as well as introduce good practices for data modeling and publication. The use of SKOS for terminologies will also be described. Attendees will learn possible applications of Semantic Web tools to share data between and within organizations and solve large scale data integration problems. This tutorial will discuss how publishers of biological and clinical data can use OWL and rules to model their data and how users of Semantic Web tools can access this more diverse data. Attendees should be familiar with the Semantic Web languages RDF, Turtle, SPARQL and be introduced to OWL. These materials will be covered in the earlier RSWA tutorial.
关 键 词: 医疗保健; 生命科学; 语义网技术
课程来源: 视频讲座网
最后编审: 2020-09-28:heyf
阅读次数: 52