Knowledge discovery portal for biomedical research

描述(由申请人提供)： 生命科学界被前所未有的信息和知识增长所淹没，生物医学研究的所有领域都需要集成解决方案。这一需求在药物发现过程中得到了强调，在药物发现过程中，来自高通量现代实验平台的数据集成带来了加速药物开发的前景。一个主要问题是生命科学数据源的异构性、分布性和动态性。这项研究的目的是开发新颖、灵活的方法和软件工具，以构建生物医学研究的知识集成门户。IAC将在新兴的分布式计算(Web服务)技术和基于XML(可扩展标记语言)的开放数据标准的基础上，开发基于Web的软件体系结构，用于集成不同类型的分布式数据源。该系统是为满足生物医学研究的独特要求而设计的。它提供信息的语义集成，采用多种原生数据格式，使用已有的数据源查询功能，并允许访问动态变化的大型自治数据源集合。该门户的原型实施将用于整合关于化合物毒性的知识。

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.