Abstract: Semanti}based Chinese Web page retrieval is a promsing application. The existing semantic retrieval mecha- nisms are categorized into three types, which are based on ontology, natural language understanding, and text classifica- tion and clustering respectively. The three technologies were reviewed and examined in detail. Semantirbased Chinese Web page retrieval system should focus on popular fields to draw great attention from Web users. Moreover, Web pages should be indexed with words rather than Chinese characters. Advanced Chinese information processing technologies should be integrated into semantic retrieval systems. Some directions for future research were finally presented, inclu- ding semantic relevance ranking, ontology definition and instance automatic extraction, semanti}based indexing, and large-scale semantic training collections construction.

Key words: Semantic information retrieval, Chinese Web page, Ontology, Classification, Clustering, Information extraction