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TAMBIS——对多个生物信息学信息源的透明访问。

TAMBIS--Transparent Access to Multiple Bioinformatics Information Sources.

作者信息

Baker P G, Brass A, Bechhofer S, Goble C, Paton N, Stevens R

机构信息

School of Biological Sciences, University of Manchester, U.K.

出版信息

Proc Int Conf Intell Syst Mol Biol. 1998;6:25-34.

PMID:9783206
Abstract

The TAMBIS project aims to provide transparent access to disparate biological databases and analysis tools, enabling users to utilize a wide range of resources with the minimum of effort. A prototype system has been developed that includes a knowledge base of biological terminology (the biological Concept Model), a model of the underlying data sources (the Source Model) and a 'knowledge-driven' user interface. Biological concepts are captured in the knowledge base using a description logic called GRAIL. The Concept Model provides the user with the concepts necessary to construct a wide range of multiple-source queries, and the user interface provides a flexible means of constructing and manipulating those queries. The Source Model provides a description of the underlying sources and mappings between terms used in the sources and terms in the biological Concept Model. The Concept Model and Source Model provide a level of indirection that shields the user from source details, providing a high level of source transparency. Source independent, declarative queries formed from terms in the Concept Model are transformed into a set of source dependent, executable procedures. Query formulation, translation and execution is demonstrated using a working example.

摘要

TAMBIS项目旨在提供对不同生物数据库和分析工具的透明访问,使用户能够以最少的精力利用广泛的资源。已经开发了一个原型系统,该系统包括一个生物学术语知识库(生物概念模型)、一个基础数据源模型(源模型)和一个“知识驱动”用户界面。使用一种名为GRAIL的描述逻辑在知识库中捕获生物概念。概念模型为用户提供构建各种多源查询所需的概念,用户界面提供构建和操作这些查询的灵活方式。源模型提供对基础数据源以及数据源中使用的术语与生物概念模型中的术语之间映射的描述。概念模型和源模型提供了一定程度的间接性,使用户无需了解源细节,从而提供了高度的源透明度。由概念模型中的术语形成的独立于源的声明性查询被转换为一组依赖于源的可执行过程。通过一个实际示例演示了查询的制定、转换和执行。

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