semantic query optimization
英 [sɪˈmæntɪk ˈkwɪəri ˌɒptɪmaɪˈzeɪʃn]
美 [sɪˈmæntɪk ˈkwɪri ˌɑːptɪməˈzeɪʃn]
网络 语义查询优化
双语例句
- Approach to semantic query optimization in deductive database
演绎数据库中的语义查询优化方法 - Particularly, the index construction methods, semantic coordination, query semantics, query processing strategies, types of queries supported, and query optimization of P2P database-style queries are discussed in detail.
然后针对上述3个方面，论述P2P数据管理研究的现状，着重讨论了P2P数据库查询的索引构造策略、语义异构的解决方法、查询语义、查询处理策略、查询类型和查询优化技术。 - Application of semantic integrity in query optimization
语义完整性在查询优化中的应用 - A Strategy of Semantic Query Optimization
查询语句语义优化的一个方法 - Algorithm of Bottom-up Static Semantic Query Optimization
一种自底向上的静态语义查询优化算法 - The purpose of semantic query optimization is to improve the effeciency of the query by using the semantic knowledge for the efficient query.
语义查询优化的目的是使用语义知识来进行有效的查询，以提高查询效率。 - Semantic query optimization of deductive database is an optimization method, through semantic knowledge, namely integrity constraints in deductive databases, which turns queries that user casts into efficient and equivalent ones.
演绎数据库语义查询优化是运用数据库中的语义知识，即完整性约束条件，将用户提交的一种查询转换为能有效执行，并与原查询等价的查询的一种优化方法。 - Semantic query optimization technology and application based on association rules
基于关联规则的语义查询优化技术及应用 - In this paper, the value of semantic integrity in query optimization is analysised. The idea of using integrity rule to rewrite query expression, which contain more opportunity for query optimization, is put forward.
本文分析了语义完整性规则在查询优化中的作用，提出了利用完整性规则改写查询，以便为传统查询优化器创造优化机会的思想。 - A strategy of semantic query optimization, which is based on cost model and the concept of constraint strength, is proposed. Further discussion on the deletion of join operations is given.
本文提出了建立在费用模型及约束强度概念上的语义优化策略，并对查询语句中连接运算的删除作了进一步讨论。 - Most work on query optimization in OODB has concentrated on tuning algebraic expressions and the physical access to the database contents. The attention to semantic query optimization, however, has been restricted due to its inherent complexity.
目前在面向对象的数据库中，查询优化多集中于调整代数表达式和物理访问数据库的内容上，而语义查询优化由于其层次复杂性而受到限制。 - SDQE: A Semantic Query Optimization in P2P System
适用于P2P的系统查询扩展优化方法 - All the works of semantic query optimization before are to decrease the cost by rewriting the query sentence to an equivalent and more efficient one.
以往的语义查询优化工作都是利用领域知识进行查询优化，主要是靠重写查询语句为一个等价的、高效的查询来降低费用。 - XML data is an acknowledged typical semi-structured data with grammar and without semantic information. However sematic information is very important to preserve data integrity, data storage and query optimization.
XML文档是一种公认的有语法而无语义信息的半结构化数据，但语义对保护数据的完整性、数据存储和查询优化都有着十分重要的作用。 - There are five steps in DB2 query processing: parsing, semantic processing, query transformation, query optimization, and code generation.
DB2处理查询语句，主要有五个步骤：解析查询语句、语义检查、重写查询语句、查询优化、生成执行代码。