否则，查询语义不允许使用索引。
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。
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.
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。
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.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
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