data semantics的例句大全

Research on conducting the multiple source data semantics transformation using the data dictionary.

利用数据字典进行多源数据语义转换研究；

Type semantics apply to conversions between all data types, including object types.

类型语义适用于所有数据类型(包括对象类型)之间的转换.

A Real-time Transaction Scheduling Algorithm with Temporal Constraints by Exploiting Data Semantics

基于挖掘具有时态限制数据语义的实时事务调度算法

In order to inquiry into function dependency in data base, the formal definition and semantics of dependency of knowledge are also discussed in the paper.

为了研究数据库中的函数依赖性，我们还将介绍数据的依赖性的形式化定义及依赖性的语义因素等。

Define the data semantics through a business glossary

通过业务术语表定义数据语义

Next, by exploiting data semantics, the algorithm improves scheduling performance combined with predictive algorithm.

继而通过挖掘数据语义，利用数据相似性，结合预测算法，进一步提高了调度性能。

The great difference in syntax and semantics of data collected is a tough problem for management platform.

语法和语义异构的数据采集是网络管理平台的基础和难题。

So we import the concept of Ontology to resolve semantics heterogeneous problem of heterogeneous data integration.

由此引入了本体的概念用于解决异构数据源集成中的语义异构问题.

It borrows the belief-based semantics from Smith-Winslett model and the data-borrow idea from MLR model.

该模型借鉴了Smith-Winslett模型 基于 置信的语义和MLR模型数据借用的思想.

So, this paper addresses how to define program semantics on dynamic data structures.

本文针对这种情况，研究了如何正确刻划动态数据结构的程序语义问题。

On Program Semantics of Dynamic Data Structures

论动态数据结构的程序语义

Ontology, by way of formal specification of share concepts, provides a method to resolve the semantic heterogeneous, since it can be used to express the semantics of data sources, identify and construct the semantic relationship of the concepts, compass the semantic consistency.

本体作为共享概念的形式化说明，用于表达数据源的语义、识别和建立概念间的语义关联、达成语义一致，提供了语义异构问题的解决途径。

Information sharing requires the interoperation among metadata exchange format, tags, content structure and semantics of data elements, etc. A complete framework of standard is thus necessary.

信息共享需要在元数据的交换格式、标记格式、元素内容结构、元素语义和数据元等方面能够互操作，需要建立一套完整的标准体系。

In other words, an ontology provides an explicit conceptualization that describes semantics of data, providing a shared and common understanding of a domain.

另一个说法，本体提供了用来描述数据的含义的显式概念，从而提供了对某个领域的共享的和公共的理解。

XML and ontology as the key technologies solves the problem of the syntax and semantics of data heterogeneous. This model shields the differences of physical and logical of the data source to the upper layer users, achieves transparent access.

XML和本体作为系统采用的关键技术分别从语法、语义两个方面解决了数据的异构问题，对上层用户屏蔽了底层数据源物理和逻辑的差异性，实现了应用层的透明访问。

Unified the information standard on the foundation of Ministry of Education, in view of each semantic conflict type, we used the concept of metadata, described mapping from the unified information standard to semantics definition of various data sources, and defined mapping transformation rule.

在教育部统一信息标准的基础上，针对各种语义冲突类型，引入元数据的概念，描述统一的信息标准到各数据源语义定义的映射，并制定映射转换规则。

It makes full use of the advantages, including that algebraic semantics describes the abstract data types, Hoare logic describes the software functions and UNYFY logic describes the properties of parallel programs.

其目的在于充分发挥并集成代数语义描述抽象数据类型、Hoars逻辑描述功能、UNITY逻辑描述并行程序性质的优点。

This includes identifying and understanding the information semantics, such as the meaning of the data model elements as well as structural information.

这包括确定和了解信息语义，如数据模型元素的含义以及结构信息等。

Data Transformation with Semantics

基于语义的数据格式转换

Addresses the semantics of Commands and associated data.

着重于命令以及相关信息的语义.