query semantics

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。

A Distributed Query Optimization Based on Semantics and Logic

基于语义和逻辑的分布查询优化

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。

This method combines phrase dictionary and local analysis, and expand the query both in semantics and syntax.

本文将术语词典和局部分析法结合起来，从语义和语法两个层面做查询扩展。

Thus, in the general case, the query semantics are different depending on the use of/ text().

因此，一般情况下，查询语义是不同的，这取决于/text（）的使用。

Query Expansion with Structural Semantics Based on Users' Feedback for XML Documents

基于用户相关反馈的带结构语义的XML查询词扩展

The reason for the difference in output between the two query modes is that Compatible Query Mode applies relational semantics to the report as it does not contain any dimensional functions.

这两个查询模式的输出出现差异的原因是因为Compatible Query Mode没有任何维度函数，它只在报告中应用关系语义。

Otherwise, the query semantics do not allow index usage.

否则，查询语义不允许使用索引。

Since/ text() generally makes a difference for query semantics, it also makes a difference for index eligibility.

既然/text（）通常会使查询语义不同，它也会使索引合格性不同。