ITR: Science on the Semantic Web -- Prototypes in Bioinformatics

ITR：语义网络上的科学——生物信息学原型

• 批准号: 0326460
• 负责人: Timothy Finin
• 金额: --
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0326460&HistoricalAwards=false
• 关键词: ITR; Science; Semantic; Web; Prototypes

This medium ITR project will develop a framework to facilitate scienceresearch and education on the semantic web, and will implement andevaluate prototype tools and applications for use in the biocomplexityand biodiversity domains. These capabilities include the ability tocollaborate and convey meaning through the automatic andsemi-automatic semantic annotation of web documents; to improveinformation retrieval using background knowledge and inference; and toextract and fuse information from multiple, heterogeneous sources inresponse to a query. A testbed for prototyping these capabilities willbe the web portal of the National Biological InformationInfrastructure (http://www.nbii.org/). The framework will includespecifications for ontologies, protocols, agents, and tools forauthoring, automated ingest, and annotation. These tools will leveragecollaboratively constructed ontologies to bring diverse communitiestogether and enable community construction of scientificknowledge. Additional domain-independent, general purpose ontologieswill be developed to enable metadata about the contents and structureof databases and other knowledge repositories to be expressed inemerging knowledge markup languages such as RDF and OWL. This willenable agents to both access and index the hidden web, and will alsosupport the data mining of diverse and distributed databases.

这个中型ITR项目将开发一个框架，以促进语义网上的科学研究和教育，并将实施和评估用于生物复杂性和生物多样性领域的原型工具和应用程序。这些功能包括通过自动和半自动的Web文档语义注释来协作和传达含义的能力;使用背景知识和推理来改进信息检索的能力;以及响应查询从多个异构源提取和融合信息的能力。国家生物信息基础设施的门户网站（http：//www.nbii.org/）将是这些能力原型化的试验平台。该框架将包括本体、协议、代理和用于创作、自动摄取和注释的工具的规范。这些工具将整合协作构建的本体，将不同的社区聚集在一起，并使社区建设的科学知识。将开发其他独立于领域的通用本体，以使有关数据库和其他知识库的内容和结构的元数据能够以RDF和OWL等新兴知识标记语言表达。这将使代理访问和索引隐藏的网络，也将支持数据挖掘的多样性和分布式数据库。