In　the　process　of　constructing　large-scale　knowledge　base,　manual-based　construction　approach　lacks　efficiency　as　well　as　flexibility.　Therefore,　automatically　extracting　of　massive　knowledge　from　online　encyclopedia　has　attracted　attention　from　an　increasing　number　of　scholars.　Current　research　is　mainly　focused　on　the　extracting　of　data　from　English　online　encyclopedia,　whereas　research　about　knowledge　extraction　from　Chinese　or　other　language　data　sources　is　rare.　For　such　reason,　the　present　paper　proposes　an　automatic　construction　scheme　for　large-scale　knowledge　base　based　on　Chinese　online　Encyclopedia.　(i)In　the　first　phase　of　the　scheme,　self　expanded　learning　is　performed　on　the　semantic　relations　between　subjects　and　objects　among　the　knowledge　triples.　(ii)In　the　second　phase,　semantic　relations　between　the　marked　attributes　and　their　entities　is　predicted　using　Conditional　Random　Fields　(CRFs)　and　Support　vector　machine　(SVM)　classifier.　A　large-scale　knowledge　base　is　automatically　constructed　based　on　the　scheme,　and　the　experiment　results　indicate　that　the　scheme　possesses　feasibility　and　effectiveness.　©　2014　ACADEMY　PUBLISHER.