ADAPTIVE PERSONALIZED INFORMATION MANAGEMENT FOR BIOLOGISTS

生物学家的自适应个性化信息管理

• 批准号: 7656692
• 负责人: WILLIAM W COHEN
• 金额: $ 28.23万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-11 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7656692
• 关键词: Address; Biological; Biological Phenomena; Biology; Collection; Communities; Computers; Data Sources; Databases; Development; Eukaryota; Genes; Goals; Grant; Individual; Information Management; Information Resources; Knowledge; Learning; Literature; Machine Learning; Medical; Metric; Monitor; Output; Persons; Process; Proteins; Publications; Research; Research Personnel; Ribosomes; Role; Scheme; Scientist; Solutions; Source; Staging; Structure; Surface; System; Techniques; Technology; Text; Time; Training; Work; base; design; experience; knowledge base; man; novel strategies; programs; tool

DESCRIPTION (provided by applicant): We propose development of an adaptive, personalizable, information management tool, which can be configured and trained by an individual biologist to most effectively exploit the particular knowledge bases and document collections that are most useful for him or her. The proposed tool represents a novel approach for monitoring scientific progress in biology, which has become a formidable task. We will exploit recent advances in machine learning and database systems to develop a useful approximation to a personalized biological knowledge base f.i.i.e., single information resource that would include all the knowledge sources on which a biologist relies. More specifically, we propose a scheme for loosely integrating both structured information and unstructured text, and then querying the integrated information using easily-formulated similarity queries. The system will also learn from every episode in which a biologist seeks information. The research team on this project includes a computer scientist and two biologists. The proposed work will make systems for monitoring scientific progress in biology more effective. This will make biologists, clinicians and medical researchers better able to track advances in the biomedical literature that are relevant to their work.

描述（由申请人提供）：我们提出了一个自适应的，个性化的，信息管理工具，它可以配置和培训的个人生物学家，最有效地利用特定的知识库和文件集合，是最有用的他或her.The建议的工具代表了一种新的方法，用于监测生物学的科学进展，这已成为一项艰巨的任务。我们将利用机器学习和数据库系统的最新进展，开发一个有用的近似个性化生物知识库，即，一个单一的信息资源，包括生物学家所依赖的所有知识来源。更具体地说，我们提出了一个计划，松散地整合结构化信息和非结构化文本，然后查询集成的信息，使用易于制定的相似性查询。该系统还将从生物学家寻求信息的每一个事件中学习。该项目的研究团队包括一名计算机科学家和两名生物学家。拟议的工作将使监测生物学科学进展的系统更加有效。这将使生物学家、临床医生和医学研究人员能够更好地跟踪与其工作相关的生物医学文献的进展。