Lexic analysis constructs query semantic tree according to the semantic unit which lexic analyzer provides.
语法分析根据词法分析器提供的语法单元构造查询的语法树。
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。
This site is a searchable directory and chronicle of Semantic Web schemata, which you can access with RDF query.
该站点是一个可搜索的目录，记载了语义Web大纲，您可以通过RDF查询进行访问。
SPARQL is the standard query language for the Semantic Web.
SPARQL是语义Web的标准查询语言。
Furthermore, a novel concept called "semantic synonyms" radically simplifies searching for concepts extracted from unstructured text by transforming the user's keyword query.
另外，还有一个称为“语义同义词(semantic synonym)”的新概念，它通过转换用户的关键字查询，从根本上简化对从非结构化文本中提取的概念的搜索。
The semantic synonyms take the form of XML fragment query expressions and can be used together with ordinary synonyms.
语义同义词采用XML片段查询表达式的形式，可以与一般的同义词一起使用。
Certain characters have semantic meaning as part of the search query, and they need to be escaped if they are intended to be part of a search term.
特定的字符在搜索查询中有特定的语法意义，如果想要作为搜索词汇，那么它们需要进行转义修饰。
The analysis of the semantic relations among large amount of Web pages with the same topic in WWW can realize the intelligent query and provide characteristic services in search engines.
对万维网上同一主题下的大量网页之间进行特定语义关系的分析，并将其应用于搜索引擎中，可以实现智能化的查询和提供其他个性化服务。
SPARQL is the query language for the Semantic Web.
SPARQL是语义网络的查询语言。
The design and implementation of the Interface for Database Query in Chinese (IDCQ). The system includes regular word segmentation subsystem and object semantic analysis subsystem.
设计和实现了汉语数据库自然语言查询接口系统（IDCQ），系统包括正则分词子系统和对象语义解析子系统；
In this paper, we describe an algorithm, for query processing with semantic optimization in distributed relational database systems.
本文描述一个分布式关系数据库系统中具有语义优化的查询处理算法。
On this basis, the scope of expanded concept set is adjusted by the similarity threshold, and the query expansion based on semantic concepts is realized.
在此基础上，通过对相似度阈值的控制来调整扩展概念集的范围和大小，从而实现语义概念层次上的查询扩展。
For better efficiency and accuracy, it needs semantic match between grid services to implement the service discovery, the service query, and the dynamic allocation and replacement of service.
在网格中要实现更加准确有效的服务发现、查询及其动态分配和替换，需要在语法匹配的基础上进一步实现语义匹配。
Meanwhile, many applications require the integrated query from related information resources, which arises the problem of semantic interoperation in heterogeneous information resources.
许多应用要求对相关信息源进行综合查询，因此必须解决这些异构数据源的语义互操作。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。
In this paper, a semantic shot representation and event query framework for soccer video is proposed.
提出了一个足球视频中的语义镜头表示及事件查询框架。
This model can help to realize semantics-based query. It can detect and mediate the common semantic inconsistencies, and provides users with semantically consistent view of query results.
该模型能够实现基于语义的查询，能够检测和调解常见的语义不一致，能够提供给用户语义一致的查询结果信息视图。
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。
The trial system took J2EE architecture which including storage component, semantic query interface component, semantic analysis component and semantic inference component.
实验系统采用J2EE架构，开发了存储组件、语义查询接口组件、语义分析组件和语义推理组件。
The idea that use the structure of semantic meaning query tree as middle language is put forward.
提出了语义查询树的中间语言结构，设计了查询语句向语义查询树的转换算法。
This article studies the mobile environment based on client-side semantic caching of query processing.
本文主要研究移动环境下基于客户端语义缓存的查询处理。
Query processing is a key problem in semantic caching.
在语义缓存查询处理是一个关键问题。
The extension of XML algebra with semantic query enhanced and semantic grid communication mechanism are also discussed to enable semantic accessing on data grid environment.
然后讨论其数据访问机制，即扩展XML代数来支持基于语义的数据访问。 最后介绍一种支持语义的网格通信机制及其通信原语。
Based on this data and semantic caching, we discussed several situations of query processing, including the exact match query and cache, including matching, cross matching, disjoint matching.
基于这样的缓存数据和语义，我们讨论了查询处理的几种情况，包括查询与缓存的精确匹配、包含匹配、相交匹配、不相交匹配等四种匹配情况。
This paper introduces an approach to semantic query optimization in deductive database.
本文介绍在演绎数据库中语义查询优化方法。
Users can provide their query requirement in several different manners, the best retrieval result will be presented for the low-level feature and semantic network can cooperate properly.
在检索的过程中，用户可以通过多种不同途径给出查询条件，图像的低层特征与语义网络互为补充以达到最佳的检索效果。
In this paper, we use the co-occurrence path to explain the relationship between the index words and extract the semantic information in the term-term matrix to expand the query.
本文首先利用传递度来量化索引词与索引词间的关联关系，然后利用索引词与索引词的关系矩阵中存在的语义关系对查询向量进行智能扩展。
The mapping information query algorithm can exactly find out the correlative semantic mapping information by a set comparing method.
使用比较集合相似度的多值信息系统查询算法能准确地查找出相关语义映射信息。
The mapping information query algorithm can exactly find out the correlative semantic mapping information by a set comparing method.
使用比较集合相似度的多值信息系统查询算法能准确地查找出相关语义映射信息。
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