Suppr超能文献

本体融合:基于本体的基因组与临床数据库整合

ONTOFUSION: ontology-based integration of genomic and clinical databases.

作者信息

Pérez-Rey D, Maojo V, García-Remesal M, Alonso-Calvo R, Billhardt H, Martin-Sánchez F, Sousa A

机构信息

Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politecnica de Madrid, 28660 Boadilla del Monte, Spain.

出版信息

Comput Biol Med. 2006 Jul-Aug;36(7-8):712-30. doi: 10.1016/j.compbiomed.2005.02.004. Epub 2005 Sep 6.

Abstract

ONTOFUSION is an ontology-based system designed for biomedical database integration. It is based on two processes: mapping and unification. Mapping is a semi-automated process that uses ontologies to link a database schema with a conceptual framework-named virtual schema. There are three methodologies for creating virtual schemas, according to the origin of the domain ontology used: (1) top-down--e.g. using an existing ontology, such as the UMLS or Gene Ontology--, (2) bottom-up--building a new domain ontology-- and (3) a hybrid combination. Unification is an automated process for integrating ontologies and hence the database to which they are linked. Using these methods, we employed ONTOFUSION to integrate a large number of public genomic and clinical databases, as well as biomedical ontologies.

摘要

ONTOFUSION是一个基于本体的系统,旨在用于生物医学数据库集成。它基于两个过程:映射和统一。映射是一个半自动过程,使用本体将数据库模式与一个名为虚拟模式的概念框架相链接。根据所使用的领域本体的来源,有三种创建虚拟模式的方法:(1)自上而下——例如使用现有的本体,如统一医学语言系统(UMLS)或基因本体——(2)自下而上——构建一个新的领域本体——以及(3)混合组合。统一是一个用于集成本体以及与之链接的数据库的自动化过程。使用这些方法,我们采用ONTOFUSION来集成大量公共基因组和临床数据库以及生物医学本体。

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