跨异构数据源的高级数据和查询联合。
Advanced data and query federation across heterogeneous data sources.
快速从异构数据库开发开发数据库或测试数据库。
Developing development or test databases from heterogeneous databases quickly.
将异构数据源联邦为一个无缝的系统可提供以下优势。
The federation of diverse data sources into a seamless system provides.
异构数据集成是数据库领域研究的热点问题。
Integration of heterogeneous database is focus in database field.
接着介绍了异构数据集成与管理平台开发相关技术。
Next this paper introduces the technology of developing the heterogeneous data integration and management platform.
这种思想不仅适用于同构数据源，也适用于异构数据源。
This idea not only is applicable for homogenous data sources but heterogeneous ones as well.
网格的出现为异构数据的访问提供了一种新的实现方式。
The appearance of Grid offers a new actualize mode for heterogeneous data access.
结合本体技术解决分布式异构数据集成中的语义异构问题。
Resolved the semantic heterogeneous problem in the distribution heterogeneous data integration, combining with ontology technology.
举例来说，清单9展示了一个异构数据树上的postwalk操作。
For example, Listing 9 shows a postwalk operating on a heterogeneous tree of data.
其次，提出了基于OLEDB技术的异构数据集成方法。
Moreover, the paper puts forward one method based on OLE DB technology.
soa使用者请求需要访问来自多个异构数据源的信息的服务。
SOA consumers request a service that requires access to information from multiple heterogeneous sources.
异构数据的集成问题已成为计算机技术研究的一个重点与热点。
Integration of heterogeneous date has become a focus and hotspot of compute technology research.
异构数据集成包括三个步骤：数据准备，数据匹配和数据合并。
Heteromorphic data integrity contains three steps: data preparation, data mapping and data combination.
本文的内容主要包括：(1)基于本体的异构数据集成技术研究。
Mostly including: (1) Technology research of heterogeneous data integration based on ontology.
异构数据集成系统的目的是提供一个访问异构数据源的统一接口。
The purpose of data integration is providing a standard interface for visiting heterogeneous data sources.
针对异构数据的基于数据库系统的图表，他允许分级搜索和流览。
Graph based database system for heterogenous data that allows ranked search and browsing.
实验证明该方法满足项目的需求，可以完成异构数据的交换和同步。
Experiments prove that the method satisfies project requirement, which can achieve heterogeneous data exchange and synchronization.
它概括、清理和转换来自异构数据源的数据，以生成一致的、精确的商业数据。
It profiles, cleanses, and transforms data from heterogeneous data sources to deliver consistent and accurate business data.
继而剖析了该模型的层次结构、模式集成、异构数据集成视图定义。
In-depth analysis of the model of hierarchical structure, model integration, heterogeneous data integration view definition.
针对异构数据操作，提出了利用中心数据库对数据进行复制与分发的方案。
Concerning the operation of isomerous data, puts forward the plan to copy and distribute data through central database.
探讨了在数字矿山系统中，实现异构数据自动转换和集成应用的技术和方法。
This paper discussed the method and technique of the auto-conversion of isomerous GIS data and integrated using in digital mine system.
以行政服务中心的网上审批系统为例，讨论了异构数据的交换模式设计与实现。
Based on the online approval system of the administrative service center, the design and realization of the isomer data exchange pattern was discussed.
其中主要解决了两个问题：校园综合信息平台系统的建立和异构数据的集成访问。
Two main problems we solve are: establishment of the campus' virtual database; integration access heterogeneous data.
分析当前的异构数据集成可以发现，如何更好地解决异构性和语义冲突至关重要。
From the analysis, we can see that it is important to resolve the heterogeneity and semantic conflict.
当对来自异构数据源的数据进行集成时，这种方法应用强大的功能来解决其中的冲突。
This approach applies powerful capabilities to resolve conflicts when data is integrated from heterogeneous sources.
更为有效的表达方法，例如实体关系或者对象模型，可以用来解决复杂的数据映射或者查询异构数据。
More powerful representations, such as entity/relations or object models, are needed if one wants to perform a complex mapping of databases to each other or to query across heterogeneous databases.
通过这三大步骤实现从多源异构数据中抽取个人基本信息和关系信息，并完成可视化分析。
Through these three parts, the system extracts the personal basic information and relation information, to visualize.
它能够接受、存储和处理多源异构数据，能够为各种应用子系统和公众提供良好的信息服务。
It can accept, save and manage multi-source isomerous data. It also supplies good information service to each application subsystem and the public.
研究了结构化、半结构化以及网页数据的XML 数据模型，该模型适合异构数据之间转换。
Study on XML data model of structured and half-structured and Web data shows that this model is fit for transition of heterogeneous data.
研究了结构化、半结构化以及网页数据的XML 数据模型，该模型适合异构数据之间转换。
Study on XML data model of structured and half-structured and Web data shows that this model is fit for transition of heterogeneous data.
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