Research And Implementation Of Intelligent Search Engine Based On Semantic Web Technology

Internet is the largest database of the world. More and more fields are covered, the information contented by the internet are growing constantly and rapidly. Search engine will help user to search valuable and underlying information. Based on the fields focused vertical information retrival techniques, the research on more efficient and intelligent search engine become to inexorable trend.This paper introduces a method, which gives the ability of nature language understanding to search engineby using semantic web techniques. The search engine built on knowledge base. It use semantic indexer to construct an index database which contain knowledge and web data of the web. User's query are processed through tokenizing, semantic reasoning and query extention, result in a standard form and be used to query index database. Search results are ranked by according to Page Ranking algorithm, semantic analysis factor and the relativity of web page's characteristic. By this method, the search engine weakens the affection of vague expression, overcome the shortage of mechanical keywords matching process; Things no more isolate but appear in relationship; Knowledge is integrated in system approach.