This paper Introduces optimization research on personalized web search system in the view of user preference,and provides a new query expansion algorithm based on semantic relation tree and intelligent frame of personalized search system fitted user preference.

Semantic Correlation Based Text Clustering Approaches;

By using Ontology+OWL technology to describe Web services, the authors have presented the grid service matching principle based on semantic correlation and its simple algorithm under the foundation of the expansion service description.

Improvement of semantic association algorithms based on semantic tree

A Chinese language input form based on keyboard combination of words and sentences is proposed, using word collocation, semantic association, fixed collocation and sentence patterns in the recognition of homophonic words.

A query refinement scheme,which synthesizes the synonymic relation and the semantic association,is presented.

The effect of semantic relevance was found in Experiment 1,in which the semantic relevance factor significantly influenced the reading time in the temporarily ambiguous region,disambiguation region and post-ambiguous region.

The main effects of semantic relevance and syntactic ambiguity were found in the temporarily am- biguous region and disambiguation region and significant interaction of semantic relevance and syntactic ambiguity was found in the disambiguation region.

This paper discusses the vasious patterns of semantic relevance between the two parts of XieHouYu (a two pact allegonical saying) by examing the semantic relationship between the two parts.