Intelligent information retrieval model based on semantic Web

In this paper,an intelligent information retrieval model based on semantic Web is proposed to solve the low recall and low precision of the traditional keyword-retrieval-based.In semantic Web,the initial index word is applied into the querying extension module via implementing the ontology technology,so that the word's extension can participate in further retrieval processes.As a result,the keyword matching methods in traditional information retrieval systems will be replaced by ontology knowledge-based solutions for carrying out user demands high recall and high precision information retrieval applications.This paper ends with an implementation of this semantic-web-based model.