Knowledge discovery portal for biomedical research

生物医学研究的知识发现门户

• 批准号: 6689165
• 负责人: Dariusz Wroblewski
• 金额: $ 19.38万
• 依托单位: INTELLIGENT AUTOMATION CORPORATION
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2005-08-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6689165
• 关键词: Internet; computer program /software; computer system design /evaluation; data collection methodology /evaluation; data management; information systems; semantics; toxicology information system

DESCRIPTION (provided by applicant): The life sciences community is overwhelmed by an unprecedented growth of information and knowledge integration solutions are needed in all areas of biomedical research. This need has been emphasized in the context of drug discovery process, where integration of data from high throughput modern experimental platforms brings the promise of accelerating the drug development. A major problem is the heterogeneous, distributed, and dynamic nature of life sciences data sources. The aim of the proposed research is to develop novel, flexible methodology and software tools for construction of a knowledge integration portals for biomedical research. Building on the emerging technologies for the distributed computing (Web services) and open data standards based on XML (eXtensible Markup Language), IAC will develop Web-based software architecture for integration of diverse types of distributed data sources. The proposed system is designed to meet unique requirements of the biomedical research. It provides semantic integration of the information, employs large variety of native data formats, uses pre-existing query capabilities of data sources, and enables access to a large, dynamically changing collection of autonomous data sources. The prototype implementation of the portal will be for integration of knowledge on toxicity of chemical compounds.

描述（由申请人提供）： 生命科学界被前所未有的信息增长所淹没，生物医学研究的所有领域都需要知识集成解决方案。在药物发现过程的背景下，这种需求得到了强调，其中来自高通量现代实验平台的数据的整合带来了加速药物开发的希望。一个主要问题是生命科学数据源的异构性、分布式和动态性。建议的研究的目的是开发新的，灵活的方法和软件工具，为生物医学研究的知识集成门户网站的建设。IAC将在分布式计算（Web服务）和基于XML（可扩展标记语言）的开放数据标准的新兴技术的基础上，开发基于Web的软件架构，用于集成不同类型的分布式数据源。所提出的系统是为了满足生物医学研究的独特要求。它提供信息的语义集成，采用各种各样的本地数据格式，使用数据源的预先存在的查询功能，并允许访问大型的、动态变化的自治数据源集合。该门户网站的原型实施将用于整合关于化合物毒性的知识。