Invoke a reasoner on semantic data.
对语义数据调用推理程序。
The semantic data store corresponds to the semantic representation of application data.
语义数据存储对应的是应用程序数据的语义表示。
The DSC’s mission is to ensure service interoperability based on semantic data definition.
DSC的任务是确保基于语义数据定义的服务互操作性。
The data access layer provides a semantic data store, a user profile, and the rules database.
数据访问层提供了一种语义数据存储、一个用户个人文件以及规则数据库。
Con-way, Inc.Success of the implementation was driven by a proper definition of semantic data.
Con - way, Inc。实现的成功是由语义数据的正确定义驱动的。
Semantic data model provides a facility for expressing meaning about the data in the database.
语义数据模型提供了表达数据库中数据之意义的设施。
The GIS semantic data modeling approach has been used as a tool to design the needed conceptual model.
采用语义数据模型的方法，提出利用地理特征这一概念作为建模的基本概念。
A semantic data modeling technique is employed to represent the logical organization of engineering design data.
本文采用语义数据建模技术表示工程设计数据的逻辑组织结构。
By the semantic data model, an integration method to express design entities and their interdependence is provided.
语义数据模型提供了表达设计实体及其相互依赖关系的一体化方法。
Semantic association is defined as the representation of rich knowledge about binary relation in semantic data model.
语义关联是语义数据模型中实体之间二维关系的知识表示形式。
Using the enterprise semantic data model, based on the business model, to ensure interoperability of the resulting services.
使用企业语义数据模型，基于业务模型，以确保最终服务的互操作性。
As a data model of describing and exchanging information, they provide a way of navigating and organizing semantic data.
它提供了语义级的数据导航和组织方式，是一个表达和交换结构化信息的元数据模型。
This paper deals with the semantic data access on demand in the grid environment and proposes a novel ontology-based semantic data fusion method named OSDF.
针对网格中语义数据的按需访问问题，提出了基于本体的语义数据融合方法OSDF。
In this paper, a semantic data model for the management of IC CAD data is proposed, and the specific representations and management of the data in the model are given.
本文提出了一个适于CAD设计数据管理的语义数据模型及在此模型下ic设计数据的具体表示及管理。
Well designed domain objects, on the other hand, define a set of foundational objects that can be used for semantic data models, building services and passing information between them.
而良好设计的领域对象（well designed domainobjects）定义的是一组基础对象，它们用于语义数据模型、构建服务、以及在它们之间传递信息。
From the semantic point of view, metadata provides meaning for data.
从语义的角度来说，元数据提供了数据的含义。
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。
Because there is no error handling logic, you must rely on database constraints to ensure semantic integrity of the data.
因为没有错误处理逻辑，必须依靠数据库的限制，以确保数据的语义完整性。
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。
It provides a rich representation of the data model that supports semantic query.
它为数据模型提供了一个丰富的表示并支持语义化的查询。
Thus, semantic spectrum covers both data and metadata.
因此，语义谱同时覆盖了数据和元数据。
In the semantic Web data is represented by semantic models.
在语义网中，数据由语义模型来表示。
The application can use a semantic representation of the data to make inferences on the user at appropriate times.
应用程序可以使用数据的语义表示来在相应的时间对用户作出推测。
The data exchange semantic for calls to local services is by-reference.
对本地服务调用的数据交换语义按引用调用。
Many industry standards deal with semantic interoperability, which include data and data model standards for vertical and horizontal industries.
有许多处理语义互操作性的行业标准，其中包含了垂直行业和水平行业的数据和数据模型标准。
The data designer using an XML dialect as the data format has complete control over the semantic model defining the data.
使用XML方言作为数据格式的数据设计人员能够全面控制数据的语义模型定义。
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）。
Service interoperability requires "semantic" data model for their interaction.
服务互操作性需要用于交互的“语义”数据模型。
MDM emerges as a pattern of semantic interoperability responding to data silos produced by departmental solutions.
MDM作为一个语义互操性模式出现，与由部门解决方案产生的数据竖井相对应。
Data mapping and resolution of taxonomy and semantic differences between data sources, service providers, and underlying data source models.
数据源、服务提供者和基础数据源模型之间的分类学和语义差异的数据映射和解析。
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