Pattern two: Hub-and-spoke semantic integration.
模式二：轮辐式语义集成。
Pattern one: Point-to-point semantic integration.
模式一：点对点语义集成。
Best practice three: Reuse semantic integration assets.
最佳实践三：重用语义集成资产。
Believe it or not, many ESB and EII projects still perform point-to-point semantic integration in SOA.
无论相信与否，许多ESB和EII项目仍然在SOA中进行点对点的语义集成。
The key to successful semantic integration is to think big, yet act incrementally towards strategic vision.
成功的语义集成的关键在于胸怀长远目标，然后以增量方式向战略远景靠近。
As the result of a siloed approach, each group may have slightly different semantic integration and data processing logic.
由于采用了竖井工作方法，每个组的语义集成和数据处理逻辑可能略有不同。
After all, SOA works well with other architectures, and SOA by itself doesn't solve information and semantic integration challenges.
毕竟，SOA能很好地与其他体系结构并存，而SOA本身并不能解决信息和语义集成挑战。
The paper takes semantic integration in information query as an example to propose an improved semantic consistence maintenance model.
论文以信息查询中的语义集成为例，提出一个改进的信息语义维护模型。
MD: Our early experience with a rich intermediate representation (IR) convinced us of the value of true semantic integration within the tools.
MD：有关丰富的中间表示(intermediate representation,IR)的早期经验使我们相信工具中真正的语义集成的价值。
Clearly, semantic integration introduces notions of semantic consistency, which have implications for configuration management and version control.
明显地，语义集成引入了语义一致性的概念，这暗示了配置管理和版本控制。
To realize the semantic integration between geo-ontology, a category theory method is proposed in which the geo-ontology is viewed as abstracted objects of category.
为了实现地理本体之间的语义集成，提出了基于范畴论的方法。
The first step of Ontology-based semantic integration of heterogeneous database is to build ontology. The quality of ontology has a direct impact on further application and research.
基于本体的异构数据库的语义集成，首先就是要对本体进行构建。本体构建质量的高低直接影响了进一步的应用和研究效果。
Domain knowledge, semantic integration method and proof combination method are applied in the model. Expression and computing methods of uncertain degree are proposed for every phase.
该模型运用领域知识、语义集成方法和证据组合方法处理模式集成各个阶段的不确定性，并给出了各阶段不确定度的表示和计算方法。
Semantic mismatches and incompatible data formats are a staple of data integration and are not likely to vanish.
语义不匹配和不兼容数据格式是数据集成的主要问题来源，不太可能消失。
The Semantic Web will enable better data integration by allowing everyone who puts individual items of data on the Web to link them with other pieces of data using standard formats.
语义网将带来更好的数据集成，它允许每个人把自己的数据按照标准的数据格式和任何其它人的数据进行链接。
The answer, according to PwC, is Semantic Web techniques. PwC believes that the Semantic Web offers a practical way to address the problem of large-scale data integration.
根据普华永道的报告，问题的答案是语义网技术，普华永道相信，语义网为解决大规模的数据整合问题提供了一种实际可行的方法。
PwC lists a number of Semantic technology vendors that focus on enterprise data integration techniques.
普华永道罗列出了许多致力于企业数据整合技术的语义技术提供商。
Other parts of the integration layer must manipulate the semantics if the existing providers are unable to satisfy the demands of the semantic characteristics of the service specifications.
如果现有的提供者无法满足服务规范的语义特征的要求，集成层的其他部分必须操纵语义特征。
Proposed clear separation of core, service specific and integration specific extensions promotes a better overall maintainability of the semantic SOA model.
文中提到的明确分离的核心、服务相关和整合相关的扩展，有利于更好地维护SOA的语义模型。
There are three major information integration patterns to achieve semantic interoperability: data federation, data consolidation and Enterprise Application Integration (EAI).
有三种主要的信息集成模式可用于实现语义互操作性：数据联合、数据整合和企业应用集成（EAI）。
In a broader sense, most information integration deals with semantic interoperability.
广而言之，大多数信息集成都是对语义互操作性进行处理。
Semantic interoperability is achieved within an enterprise via a hub-and-spoke topology, which reduces the redundancy and maintenance cost of point-to-point integration.
企业内部的语义互操作性通过轮辐式拓扑来实现，此轮辐式拓扑减少了冗余，并且降低了点对点集成的维护成本。
Semantic Web services (SWS) can be considered an integration layer on top of Web services; they use ontologies as data model and they have a rich conceptual model.
语义Web服务(SWS)可看作是Web服务之上的集成层；它们使用本体作为数据模型并且拥有丰富的概念模型。
The Semantic Web has the goal of creating Web infrastructure that augments data with metadata to give it meaning, thus making it suitable for automation, integration, reasoning, and re-use.
语义web的目标是创建Web基础设施，使用元数据对数据进行增强，从而使数据变得有意义，最终使数据变得适合进行自动化、集成、推理和重用。
The semantic web provides a good infrastructure for building and deploying a decentralized framework for policy and privacy integration, but it has yet to be developed, let alone adopted.
语义网站提供良好的基础设施为政策和隐私一体化建立和部署分散的架构。但这还有待开发，更别说采用。
In SOA, as in mature EAI, separation of concerns is key, and thus an "integration layer" in SOA might perform both semantic and non-semantic actions, but must keep them separate architecturally.
与成熟的EAI一样，在SOA中关注点隔离是关键，因此soa中的“集成层”可以执行语义和非语义这两类操作，但是必须在架构层面上把它们隔离开。
Thus in EAI, "integration" includes both semantic and non-semantic actions, and an "integration layer" can perform both.
因此，在EAI中“集成”包括语义和非语义操作，“集成层”可以执行这两类操作。
Resolved the semantic heterogeneous problem in the distribution heterogeneous data integration, combining with ontology technology.
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。
The paper discusses the heterogeneous problems in data integration, especially on the semantic heterogeneity.
该文主要讨论集成过程中的异构问题，尤其是语义异构问题。
The paper discusses the heterogeneous problems in data integration, especially on the semantic heterogeneity.
该文主要讨论集成过程中的异构问题，尤其是语义异构问题。
应用推荐