Suppr超能文献

加强对文献组的访问:TREC基因组学跟踪项目

Enhancing access to the Bibliome: the TREC Genomics Track.

作者信息

Hersh William, Bhupatiraju Ravi Teja, Corley Sarah

机构信息

Department of Medical Informatics & Clincal Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA.

出版信息

Stud Health Technol Inform. 2004;107(Pt 2):773-7.

Abstract

The growing amount of scientific discovery in genomics and related biomedical disciplines has led to a corresponding increase in the amount of on-line data and information. A new challenge for biomedical researchers has been how to access and manage this ever-increasing quantity of information. The Text Retrieval Conference (TREC) has implemented a Genomics Track to create an experimental environment for research in the use of information retrieval systems in the genomics domain. In the first year of the track, an ad hoc document retrieval task and an information extraction task were carried out by 29 research groups. Future work will focus on more complex data sources, searching tasks, and types of experiments.

摘要

基因组学及相关生物医学学科中科学发现数量的不断增加,导致在线数据和信息的数量相应增长。生物医学研究人员面临的一个新挑战是如何获取和管理这一不断增长的信息量。文本检索会议(TREC)设立了基因组学专题,以创建一个实验环境,用于研究信息检索系统在基因组学领域的应用。在该专题的第一年,29个研究小组开展了一个特别文档检索任务和一个信息提取任务。未来的工作将集中于更复杂的数据源、搜索任务和实验类型。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验