Searching　useful　information　and　locating　appropriate　Ontology　from　WWW　or　Semantic　Web　is　an　important　task　in　Ontology　research　domain.　The　most　difference　between　Ontology　information　and　common　information　is　that　Ontology　has　semantic　structure.　In　order　to　improve　search　precision　by　semantic　analysis　the　paper　proposes　concepts-weights　vectors　matching　algorithm　(CWVMA).　The　algorithm　firstly　parses　input　messages　and　preliminary　keywords　based　results　into　concepts　sets.　Then　it　decides　matching　rule　according　to　influence　of　concepts　set　on　Ontology　semantic　and　creates　weight　vector　by　matching　rule.　At　last　it　obtains　result　vector　as　foundation　of　measure　similarity　between　input　messages　and　preliminary　results.　In　addition,　this　paper　designed　and　developed　an　Ontology　search　engine　based　on　the　above　algorithm　-　WI　OntoSearch　prototype　system.　The　system　can　search　about　4　billion　web　pages　by　Google　Web　Service.　A　lot　of　results　of　experiments　explain　the　algorithm　can　improve　precision　of　Ontology　search..　©　2005　IEEE.