The Study and Implementation of Semantic Matching Algorithms in Semantic Web Serivces

A Sememe Based Semantic Matching of Web Information Item

一种基于义素的网页信息项语义匹配方法研究

This article presents a music recommendation method based on cross-media semantic matching.

本文提出基于跨媒体语义匹配模型的相册背景音乐推荐方法，旨在解决为相册推荐符合情境的背景音乐问题。

WEB information integration with fully semantic matching

具有完善语义匹配的WEB信息集成

Semantic Matching Method Based on Ontology for Grid Services

基于本体的网格服务语义匹配方法

The definition of UML includes two parts: UML Semantic and UML Notation.

UML的定义包括两个部分：UML语义和UML表示法，其中UML语义定义UML对象建模的抽象文法和语义的元模型；

Internal Semantic Relation and Cognitive Interpretation of English Words in Pairs

英语成对词的内在语义关系及其认知解读

Research and Application of Semantic Relation in Intelligent Question Answer System

智能答疑系统中语义网的研究与应用

Application of discourse analysis in entity semantic relation extraction

语篇分析在实体语义关系抽取中的应用

Survey of no A and no B format semantic relation in Chinese

汉语中不A不B格式语义关系之考察

Several convertible signcryption schemes with semantic security based on elliptic curve cryptosystem were proposed.

基于椭圆曲线密码体制建立了几个具有语义安全的可转换签密方案。

A semantic security policy language, called SSPL, was proposed for distributed computing environment.

提出了一种用于分布式计算环境的语言安全策略语言SSPL。

Two Convertible Authenticated Encryption Schemes with Semantic Security

两个具有语义安全的可转换认证加密方案

In addition, our scheme can achieve semantic security by preventing the message guess attack.

另外，该方案还可以防止消息的猜测攻击，从而实现了语义安全性。

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。

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。

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。

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。

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。