Data warehouse have emerged as on key technology for the integration of distributed information sources.
数据仓库作为一种对分布式信息源集成的关键技术而出现。
Real-time access to distributed information sources also brings new capabilities to business intelligence, one exapmple being compliance with legal and regulatory requirements.
对分布式信息源的实时访问同样为业务智能带来了新的性能，这应该遵循法定和管理需求。
The integrated statistics business is characterized by a great many of distributed information sources and variable statistic rules and items for different statistic purposes.
供电管理综合统计工作不仅具有报表多、信息量大、客户端分散、数据来源多样化的特点，还有统计项目和统计算法多变性的要求。
The information delivered is collected from multiple disparate sources distributed across the enterprise.
所提供的信息从多个分布在整个企业中的不同来源收集而来。
As the Semantic Web is inherently distributed, OWL must allow for information to be gathered from distributed sources.
由于语义网络固有的分布性，OWL必须允许信息能够从分布的信息源收集起来。
Ontology-based semantic information integration resolves the schema level heterogeneity and part of data level heterogeneity between distributed data sources.
基于本体的语义信息集成主要解决分布异构的数据源之间的模式级异构和部分数据异构（包括同义字和同音异义字）。
Ontology-based semantic information integration resolves the schema level heterogeneity and part of data level heterogeneity between distributed data sources.
基于本体的语义信息集成主要解决分布异构的数据源之间的模式级异构和部分数据异构（包括同义字和同音异义字）。
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