semantics of data

英 [sɪˈmæntɪks ɒv ˈdeɪtə] 美 [sɪˈmæntɪks əv ˈdeɪtə]

【计】数据语义学

计算机



双语例句

  1. SOAP messages can also be viewed as Documents exchanged where the semantics of the data exchanged are known only at the application level ( sender or receiver).
    SOAP消息也可以看作被交换的文档(Document),其中被交换数据的语义只在应用程序级(发送方和接收方)被了解。
  2. The standardization of describing data provides a means for an SOA community to agree to the interoperability of both the structure ( syntax) and meaning ( semantics) of the data.
    数据描述的标准化为SOA社区提供了一种就数据的结构(语法)和含义(语义)的互操作性达成一致的途径。
  3. Character vs byte semantics of string data
    字符与字符串数据的字节语义之间的对比
  4. AspectWerkz and JBoss AOP use metadata to change the semantics of a class as an aspect, a data field as a pointcut, a method as an advice, and so on.
    AspectWerkz和JBossAOP使用元数据将类的语义转换为一个方面、将数据字段转换为一个切入点、将方法转换为一个通知,等等。
  5. In effect, it allows you to specify semantics as well as syntax of new data types, which is essential.
    事实上,这允许您指定新数据类型的语法和语义,这非常关键。
  6. Semantic information modeling ( ontology) moves beyond structural, logical data modeling in the sense that it models semantics ( meaning) and relationships of data.
    语义信息建模(本体)不属于逻辑数据建模,它对数据的语义(含义)和关系建模。
  7. A domain is a class or type and indicates the rules, syntax, and semantics for a piece of data ( for example, it must be an integer, float, conform to a picture, and so on).
    域是类或类型并表示数据的规则、语法及语义(例如,它必需是整型、浮点型、图片类型等等)。
  8. 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。
  9. Data Type URI: Type name describing the format and semantics of the data
    DataTypeURI:输入描述数据格式和语义的名字
  10. The added value of this caching solution lies in its awareness of the semantics of cached data structures in order to provide filtering, paging, and sorting mechanisms for the caller.
    这个缓存解决方案所提供的价值在于,它能感知缓存的数据结构的语义,以便为调用方提供过滤、分页和排序机制。
  11. Identify business processes that corrupt the semantics of CRM data.
    识别影响CRM数据意义的商业程序。
  12. 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。
  13. The main challenge in GIS data sharing is semantics sharing of the data.
    GIS数据共享的主要问题是数据的语义共享。
  14. 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。
  15. The data model is the basis of hypertext standardization. The presentation and the browsing semantics of the hypertext applications should be separated from the data objects in the hyperbase.
    超文本的数据模型是超文本标准化的基础,且超文本应用的表现与浏览语义应从超文本数据库的数据对象中分离出来。
  16. On Program Semantics of Dynamic Data Structures
    论动态数据结构的程序语义
  17. 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 sematic 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。
  18. Although being very useful for validating XML documents, an XML schema is not suitable for tasks requiring knowledge about the semantics of the represented data. For such tasks it is better to use a conceptual schema.
    虽然XML模式对ValidatingXML文档非常有用,但它不适用于要求表示数据有关语义知识的任务,对这样的任务最好使用概念模式。
  19. 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。
  20. The main idea of the framework is to resolve conflicts by utilizing semantics of the operations and the accessed data objects.
    该模型的主要思想是利用对象本身及其上所定义的操作的语义进行冲突解析。
  21. The XML describes the structure of the document only, but does not cover the semantics of the data, and the ontology language describing the semantics of the data can't represent the XML data directly.
    XML只描述了文档的结构,却没涵盖数据的语义,而描述数据语义的本体语言不能直接对XML数据进行表述。
  22. Sliding windows semantics is the basic work of data streams management system, which is involved in the storage and rate of query execution.
    定义滑动窗口语义是数据流管理系统中一个非常基础性的工作,直接关系到数据流的存储和查询的执行效率。
  23. This thesis investigates the semantics of the multilevel secure data model, static and dynamic covert channel detections, and multilevel transaction schedules.
    研究了多级安全数据模型的语义问题,静态的和动态的隐通道检测问题,多级事务的调度问题。
  24. 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。
  25. At present, the traditional data integration methods can not satisfy the needs of users, the semantics heterogeneous of data integration is increasingly evident.
    目前,传统的数据集成方法已经不能满足用户的需求,数据集成中的语义异构问题越来越明显。
  26. 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。
  27. Deep structure learning is a new learning model of machine learning in recent years. Deep structure semantics is one of the key technologies of data analysis.
    深层结构学习是近年来机器学习领域兴起的一个学习范式,深层结构语义是数据分析的关键技术之一。
  28. It carries the semantics of the data when representing data, and can be used as an intermediate format for all platforms.
    XML表示数据的同时,还携带了数据的语义,可以作为一种中间格式,为所有平台所使用。
  29. That how to organize it is discussed also. Four kinds of rules are designed especially to dig out hidden semantics of data deeply. ( 3) Design the algorithm of querying on large scale of data source, which called DSQ.
    论述了如何构建语义信息资源目录,尤其是如何深度发掘数据暗含语义,设计了四类规则促进语义的发掘。(3)设计了在大规模数据源上进行语义查询的DSQ算法。