数据整合可以处理集成来自异构源模型数据的问题，并且包括将这些不同的源模型映射到目标中的公共模型的相关技术。
Data consolidation addresses the problem of integrating data from heterogeneous source models and includes techniques to map those different source models into the common model at the target.
通过有效手段从整合的异构生物信息资源中获取高质量的生物数据，能够为生物信息的分析和挖掘提供强有力的支持。
The analysis and mining of bioinformation can be strongly supported by means of acquiring high quality bio-data efficiently and conveniently from integrated heterogeneous bioinformation resource.
本文通过对基于适配器的异构系统集成技术的分析，结合组件技术的特点，提出了一个基于适配器的数据整合平台。
In this paper, a data integration platform based adapter is presented by analyzing the integration technology of the heterogeneous system based adapter.
系统通过整合多个异构数据源，建立企业知识体系，实现对企业结构化数据和其结构化数据的管理。
Through integration of several heterogeneous data sources, the enterprise knowledge system was established, which can be used to manage the structured and non-structured data for the enterprise.
本文探讨了异构型数据库系统整合的几种方式，并在功能、应用、技术基础等多个方面作了对比，同时给出了几种推荐使用的数据库产品。
This paper discuss some Methods of Heterogeneous database System Conformity, and their capability, application and technique, at last give out some database products being used nowadays.
从分布异构数据库中提取有用数据以及数据整合，是信用系统的核心技术。
Extracting and integrating available data form distributed heterogeneous database, which is the pivotal technology.
本文选取XML技术与中间件技术相结合的方法，进行数字图书馆异构数据库的数据整合研究。
This thesis makes a deep research to data integration of digital library heterogeneous database by the method of the combination of XML technology and middleware technology.
由于网络知识资源的异构性，知识融合系统需要对多源数据、信息进行集成与整合并消除歧义。
As a result of heterogeneity of network knowledge resources, knowledge fusion systems have to integrate and combine the multi-source data and information and reduce the ambiguity.
为了把分布在不同系统中的异构数据集整合起来，实现高度集成的数据查询功能，需要一种普适性方案对数据进行规范化与再利用。
A pervasive scheme which normalizes and reuses datasets is needed to consolidate the utilities of heterogeneous datasets in distinct systems to achieve highly integrated information retrieval.
为了把分布在不同系统中的异构数据集整合起来，实现高度集成的数据查询功能，需要一种普适性方案对数据进行规范化与再利用。
A pervasive scheme which normalizes and reuses datasets is needed to consolidate the utilities of heterogeneous datasets in distinct systems to achieve highly integrated information retrieval.
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