However,existing semantic clustering approaches based on the taxonomy hierarchy take little account of load balancing problem among clusters,which inevitably compromise network performance.

The approach can dynamically group peers into many semantic clusters based on their individual semantics of data object.

Firstly, based on introducing the structure of MDM3 and analyzing representative cache replacement polices, this paper gives the concept of semantic cluster and produces its structure.

A syntactic and semantic analysis of the structures ”have a V-inf” and ”take a V-inf”;

Search spider of vertical search engine based on semantic analysis;

Design and implementation of semantic analysis interactive knowledge system;

Image semantic classification based on multi-features;

This paper analyzes and studies their semantic classification and feature,and pragmatic analysis.

An image annotation method based on the semantic classification is put forward.

An ontology backbone was captured with an extensible pattern set and a distributional semantic model to find the general relations between concepts using association rules, as well as to prune and merge candidate ontologies.